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🏫 College Timetable Generator for LJ University 🏫

🌟Developed by webKing021🌟

Timetable GeneratorPythonTkinterVersion

🎓 Overview 🎓

The College Timetable Generator is a revolutionary software solution meticulously to transform the challenging task of academic scheduling into a seamless experience. This state-of-the-art application harnesses cutting-edge algorithms and intuitive design to create optimal, conflict-free timetables for educational institutions of all sizes.

Built with a deep understanding of the complexities faced by academic schedulers, this application represents the perfect fusion of technical excellence and practical utility. Every feature has been thoughtfully implemented to address real-world scheduling challenges that colleges and universities face daily.

✨ Revolutionary Features ✨

🚀 Intelligent Core Engine

  • Advanced Timetable Algorithm: Proprietary scheduling algorithm that optimizes timetables based on multiple constraints simultaneously
  • Smart Conflict Resolution: AI-inspired conflict detection and resolution system that automatically suggests optimal solutions
  • Versatile Export System: One-click export to Excel, PDF, and other formats with professionally designed templates
  • Real-time Validation: Continuous validation ensures timetable integrity at every step

👨‍🏫 Comprehensive Management Suite

  • Faculty Dashboard: Complete faculty profile management with customizable availability patterns and specialization tracking
  • Subject Hierarchy System: Sophisticated subject organization with prerequisites, co-requisites, and priority settings
  • Dynamic Resource Allocation: Intelligent classroom and lab assignment based on equipment needs, capacity, and proximity
  • Batch & Division Handling: Effortlessly manage multiple batches, divisions, and elective groups

📊 Advanced Analytics Platform

  • Interactive Workload Visualization: Dynamic charts and heatmaps showing faculty workload distribution
  • Resource Utilization Metrics: Comprehensive analytics on space utilization with efficiency recommendations
  • Conflict Analysis Tools: Detailed diagnostic tools to identify and resolve scheduling bottlenecks
  • Comparative Analysis: Compare different timetable versions to identify optimal solutions

🎨 Premium User Experience

  • Customizable UI: Sleek, modern interface with multiple theme options and personalization features
  • Robust History Management: Comprehensive undo/redo system with named snapshots and comparison tools
  • Interactive Help System: Context-sensitive guidance and comprehensive documentation
  • Multi-view Timetables: View schedules from faculty, student, or room perspectives with a single click

💻 Technical Specifications 💻

🔥 Core Requirements

  • Python 3.8+: Leverages the latest Python features for optimal performance
  • Modern OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
  • Display: 1280x720 or higher resolution for optimal UI experience
  • Tkinter: Included with standard Python for seamless GUI integration

🔓 Optional Packages (for enhanced functionality)

  • Pandas: For Excel export and data manipulation
  • Matplotlib: For data visualization and insights
  • NumPy: For advanced numerical computations and optimization
  • Pillow: For image handling and customization
  • ReportLab: For PDF export and professional reporting

🚀 Quick Start Guide 🚀

📍 Installation

# Clone or download the repository.# Install all recommended dependencies for the full experience
pip install pandas matplotlib numpy pillow reportlab

🔔 Launching the Application

# Simply run the main Python file
python krutarth.py
# For debug mode with additional logging
python krutarth.py --debug

📃 Step-by-Step Workflow

  1. Initial Setup 🌐

    • Navigate to the Input tab to configure academic year and terms
    • Set working days and institution-specific parameters
    • Customize application appearance through the Settings tab
  2. Data Entry 📝

    • Add faculty details including availability and specializations
    • Define subjects with their requirements and constraints
    • Configure classrooms, labs, and other resources
  3. Timetable Generation

    • Select target semesters and divisions
    • Choose optimization parameters
    • Generate your timetable with a single click
  4. Refinement & Analysis 🔍

    • Review generated timetable for any manual adjustments
    • Use the Analytics tab to identify potential improvements
    • Apply optimization algorithms for further refinement
  5. Export & Share 📤

    • Export to your preferred format (Excel, PDF, etc.)
    • Print physical copies or distribute digitally
    • Save configurations for future terms

💡 Tips 💡

🌟 Maximizing Timetable Quality

  • Complete Faculty Profiles: Enter detailed faculty availability patterns including preferred teaching hours and specialized skills
  • Constraint Prioritization: Define a clear hierarchy of constraints (hard vs. soft) to guide the optimization engine
  • Iterative Refinement: Use the analytics dashboard after each generation to identify and address specific bottlenecks
  • Strategic Room Allocation: Group similar subjects in nearby rooms to minimize transit time for both students and faculty
  • Balanced Workload: Distribute teaching hours evenly throughout the week to prevent faculty fatigue

🔥 Power User Techniques

  • Template Creation: Save successful timetable configurations as templates for future terms
  • Custom Optimization Rules: Define institution-specific rules to address unique scheduling requirements
  • Batch Processing: Generate multiple timetable variants simultaneously to compare different approaches
  • Constraint Relaxation: Temporarily relax non-critical constraints to find innovative scheduling solutions
  • Incremental Scheduling: For complex institutions, schedule departments sequentially in order of constraint complexity

📝 License & Copyright 📝

Copyright

ALL RIGHTS RESERVED

This software is developed by webKing021. you can use the code for your education or more enhancement for generating Time table. so feel free to use.


About

I have created this project in Semester-4 in subject Python to help out in making of generating the timetable through the algorithm based on Python. The project is created just for learning purpose, so anyone can use this.

Topics

Resources

Stars

1 star

Watchers

1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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🏫 College Timetable Generator for LJ University 🏫

🌟Developed by webKing021🌟

Timetable GeneratorPythonTkinterVersion

🎓 Overview 🎓

The College Timetable Generator is a revolutionary software solution meticulously to transform the challenging task of academic scheduling into a seamless experience. This state-of-the-art application harnesses cutting-edge algorithms and intuitive design to create optimal, conflict-free timetables for educational institutions of all sizes.

Built with a deep understanding of the complexities faced by academic schedulers, this application represents the perfect fusion of technical excellence and practical utility. Every feature has been thoughtfully implemented to address real-world scheduling challenges that colleges and universities face daily.

✨ Revolutionary Features ✨

🚀 Intelligent Core Engine

  • Advanced Timetable Algorithm: Proprietary scheduling algorithm that optimizes timetables based on multiple constraints simultaneously
  • Smart Conflict Resolution: AI-inspired conflict detection and resolution system that automatically suggests optimal solutions
  • Versatile Export System: One-click export to Excel, PDF, and other formats with professionally designed templates
  • Real-time Validation: Continuous validation ensures timetable integrity at every step

👨‍🏫 Comprehensive Management Suite

  • Faculty Dashboard: Complete faculty profile management with customizable availability patterns and specialization tracking
  • Subject Hierarchy System: Sophisticated subject organization with prerequisites, co-requisites, and priority settings
  • Dynamic Resource Allocation: Intelligent classroom and lab assignment based on equipment needs, capacity, and proximity
  • Batch & Division Handling: Effortlessly manage multiple batches, divisions, and elective groups

📊 Advanced Analytics Platform

  • Interactive Workload Visualization: Dynamic charts and heatmaps showing faculty workload distribution
  • Resource Utilization Metrics: Comprehensive analytics on space utilization with efficiency recommendations
  • Conflict Analysis Tools: Detailed diagnostic tools to identify and resolve scheduling bottlenecks
  • Comparative Analysis: Compare different timetable versions to identify optimal solutions

🎨 Premium User Experience

  • Customizable UI: Sleek, modern interface with multiple theme options and personalization features
  • Robust History Management: Comprehensive undo/redo system with named snapshots and comparison tools
  • Interactive Help System: Context-sensitive guidance and comprehensive documentation
  • Multi-view Timetables: View schedules from faculty, student, or room perspectives with a single click

💻 Technical Specifications 💻

🔥 Core Requirements

  • Python 3.8+: Leverages the latest Python features for optimal performance
  • Modern OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
  • Display: 1280x720 or higher resolution for optimal UI experience
  • Tkinter: Included with standard Python for seamless GUI integration

🔓 Optional Packages (for enhanced functionality)

  • Pandas: For Excel export and data manipulation
  • Matplotlib: For data visualization and insights
  • NumPy: For advanced numerical computations and optimization
  • Pillow: For image handling and customization
  • ReportLab: For PDF export and professional reporting

🚀 Quick Start Guide 🚀

📍 Installation

# Clone or download the repository.# Install all recommended dependencies for the full experience
pip install pandas matplotlib numpy pillow reportlab

🔔 Launching the Application

# Simply run the main Python file
python krutarth.py
# For debug mode with additional logging
python krutarth.py --debug

📃 Step-by-Step Workflow

  1. Initial Setup 🌐

    • Navigate to the Input tab to configure academic year and terms
    • Set working days and institution-specific parameters
    • Customize application appearance through the Settings tab
  2. Data Entry 📝

    • Add faculty details including availability and specializations
    • Define subjects with their requirements and constraints
    • Configure classrooms, labs, and other resources
  3. Timetable Generation

    • Select target semesters and divisions
    • Choose optimization parameters
    • Generate your timetable with a single click
  4. Refinement & Analysis 🔍

    • Review generated timetable for any manual adjustments
    • Use the Analytics tab to identify potential improvements
    • Apply optimization algorithms for further refinement
  5. Export & Share 📤

    • Export to your preferred format (Excel, PDF, etc.)
    • Print physical copies or distribute digitally
    • Save configurations for future terms

💡 Tips 💡

🌟 Maximizing Timetable Quality

  • Complete Faculty Profiles: Enter detailed faculty availability patterns including preferred teaching hours and specialized skills
  • Constraint Prioritization: Define a clear hierarchy of constraints (hard vs. soft) to guide the optimization engine
  • Iterative Refinement: Use the analytics dashboard after each generation to identify and address specific bottlenecks
  • Strategic Room Allocation: Group similar subjects in nearby rooms to minimize transit time for both students and faculty
  • Balanced Workload: Distribute teaching hours evenly throughout the week to prevent faculty fatigue

🔥 Power User Techniques

  • Template Creation: Save successful timetable configurations as templates for future terms
  • Custom Optimization Rules: Define institution-specific rules to address unique scheduling requirements
  • Batch Processing: Generate multiple timetable variants simultaneously to compare different approaches
  • Constraint Relaxation: Temporarily relax non-critical constraints to find innovative scheduling solutions
  • Incremental Scheduling: For complex institutions, schedule departments sequentially in order of constraint complexity

📝 License & Copyright 📝

Copyright

ALL RIGHTS RESERVED

This software is developed by webKing021. you can use the code for your education or more enhancement for generating Time table. so feel free to use.


About

I have created this project in Semester-4 in subject Python to help out in making of generating the timetable through the algorithm based on Python. The project is created just for learning purpose, so anyone can use this.

Topics

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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10 Commits

Folders and files

NameName
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🏫 College Timetable Generator for LJ University 🏫

🌟Developed by webKing021🌟

Timetable GeneratorPythonTkinterVersion

🎓 Overview 🎓

The College Timetable Generator is a revolutionary software solution meticulously to transform the challenging task of academic scheduling into a seamless experience. This state-of-the-art application harnesses cutting-edge algorithms and intuitive design to create optimal, conflict-free timetables for educational institutions of all sizes.

Built with a deep understanding of the complexities faced by academic schedulers, this application represents the perfect fusion of technical excellence and practical utility. Every feature has been thoughtfully implemented to address real-world scheduling challenges that colleges and universities face daily.

✨ Revolutionary Features ✨

🚀 Intelligent Core Engine

  • Advanced Timetable Algorithm: Proprietary scheduling algorithm that optimizes timetables based on multiple constraints simultaneously
  • Smart Conflict Resolution: AI-inspired conflict detection and resolution system that automatically suggests optimal solutions
  • Versatile Export System: One-click export to Excel, PDF, and other formats with professionally designed templates
  • Real-time Validation: Continuous validation ensures timetable integrity at every step

👨‍🏫 Comprehensive Management Suite

  • Faculty Dashboard: Complete faculty profile management with customizable availability patterns and specialization tracking
  • Subject Hierarchy System: Sophisticated subject organization with prerequisites, co-requisites, and priority settings
  • Dynamic Resource Allocation: Intelligent classroom and lab assignment based on equipment needs, capacity, and proximity
  • Batch & Division Handling: Effortlessly manage multiple batches, divisions, and elective groups

📊 Advanced Analytics Platform

  • Interactive Workload Visualization: Dynamic charts and heatmaps showing faculty workload distribution
  • Resource Utilization Metrics: Comprehensive analytics on space utilization with efficiency recommendations
  • Conflict Analysis Tools: Detailed diagnostic tools to identify and resolve scheduling bottlenecks
  • Comparative Analysis: Compare different timetable versions to identify optimal solutions

🎨 Premium User Experience

  • Customizable UI: Sleek, modern interface with multiple theme options and personalization features
  • Robust History Management: Comprehensive undo/redo system with named snapshots and comparison tools
  • Interactive Help System: Context-sensitive guidance and comprehensive documentation
  • Multi-view Timetables: View schedules from faculty, student, or room perspectives with a single click

💻 Technical Specifications 💻

🔥 Core Requirements

  • Python 3.8+: Leverages the latest Python features for optimal performance
  • Modern OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
  • Display: 1280x720 or higher resolution for optimal UI experience
  • Tkinter: Included with standard Python for seamless GUI integration

🔓 Optional Packages (for enhanced functionality)

  • Pandas: For Excel export and data manipulation
  • Matplotlib: For data visualization and insights
  • NumPy: For advanced numerical computations and optimization
  • Pillow: For image handling and customization
  • ReportLab: For PDF export and professional reporting

🚀 Quick Start Guide 🚀

📍 Installation

# Clone or download the repository.# Install all recommended dependencies for the full experience
pip install pandas matplotlib numpy pillow reportlab

🔔 Launching the Application

# Simply run the main Python file
python krutarth.py
# For debug mode with additional logging
python krutarth.py --debug

📃 Step-by-Step Workflow

  1. Initial Setup 🌐

    • Navigate to the Input tab to configure academic year and terms
    • Set working days and institution-specific parameters
    • Customize application appearance through the Settings tab
  2. Data Entry 📝

    • Add faculty details including availability and specializations
    • Define subjects with their requirements and constraints
    • Configure classrooms, labs, and other resources
  3. Timetable Generation

    • Select target semesters and divisions
    • Choose optimization parameters
    • Generate your timetable with a single click
  4. Refinement & Analysis 🔍

    • Review generated timetable for any manual adjustments
    • Use the Analytics tab to identify potential improvements
    • Apply optimization algorithms for further refinement
  5. Export & Share 📤

    • Export to your preferred format (Excel, PDF, etc.)
    • Print physical copies or distribute digitally
    • Save configurations for future terms

💡 Tips 💡

🌟 Maximizing Timetable Quality

  • Complete Faculty Profiles: Enter detailed faculty availability patterns including preferred teaching hours and specialized skills
  • Constraint Prioritization: Define a clear hierarchy of constraints (hard vs. soft) to guide the optimization engine
  • Iterative Refinement: Use the analytics dashboard after each generation to identify and address specific bottlenecks
  • Strategic Room Allocation: Group similar subjects in nearby rooms to minimize transit time for both students and faculty
  • Balanced Workload: Distribute teaching hours evenly throughout the week to prevent faculty fatigue

🔥 Power User Techniques

  • Template Creation: Save successful timetable configurations as templates for future terms
  • Custom Optimization Rules: Define institution-specific rules to address unique scheduling requirements
  • Batch Processing: Generate multiple timetable variants simultaneously to compare different approaches
  • Constraint Relaxation: Temporarily relax non-critical constraints to find innovative scheduling solutions
  • Incremental Scheduling: For complex institutions, schedule departments sequentially in order of constraint complexity

📝 License & Copyright 📝

Copyright

ALL RIGHTS RESERVED

This software is developed by webKing021. you can use the code for your education or more enhancement for generating Time table. so feel free to use.


About

I have created this project in Semester-4 in subject Python to help out in making of generating the timetable through the algorithm based on Python. The project is created just for learning purpose, so anyone can use this.

Topics

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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🏫 College Timetable Generator for LJ University 🏫

🌟Developed by webKing021🌟

Timetable GeneratorPythonTkinterVersion

🎓 Overview 🎓

The College Timetable Generator is a revolutionary software solution meticulously to transform the challenging task of academic scheduling into a seamless experience. This state-of-the-art application harnesses cutting-edge algorithms and intuitive design to create optimal, conflict-free timetables for educational institutions of all sizes.

Built with a deep understanding of the complexities faced by academic schedulers, this application represents the perfect fusion of technical excellence and practical utility. Every feature has been thoughtfully implemented to address real-world scheduling challenges that colleges and universities face daily.

✨ Revolutionary Features ✨

🚀 Intelligent Core Engine

  • Advanced Timetable Algorithm: Proprietary scheduling algorithm that optimizes timetables based on multiple constraints simultaneously
  • Smart Conflict Resolution: AI-inspired conflict detection and resolution system that automatically suggests optimal solutions
  • Versatile Export System: One-click export to Excel, PDF, and other formats with professionally designed templates
  • Real-time Validation: Continuous validation ensures timetable integrity at every step

👨‍🏫 Comprehensive Management Suite

  • Faculty Dashboard: Complete faculty profile management with customizable availability patterns and specialization tracking
  • Subject Hierarchy System: Sophisticated subject organization with prerequisites, co-requisites, and priority settings
  • Dynamic Resource Allocation: Intelligent classroom and lab assignment based on equipment needs, capacity, and proximity
  • Batch & Division Handling: Effortlessly manage multiple batches, divisions, and elective groups

📊 Advanced Analytics Platform

  • Interactive Workload Visualization: Dynamic charts and heatmaps showing faculty workload distribution
  • Resource Utilization Metrics: Comprehensive analytics on space utilization with efficiency recommendations
  • Conflict Analysis Tools: Detailed diagnostic tools to identify and resolve scheduling bottlenecks
  • Comparative Analysis: Compare different timetable versions to identify optimal solutions

🎨 Premium User Experience

  • Customizable UI: Sleek, modern interface with multiple theme options and personalization features
  • Robust History Management: Comprehensive undo/redo system with named snapshots and comparison tools
  • Interactive Help System: Context-sensitive guidance and comprehensive documentation
  • Multi-view Timetables: View schedules from faculty, student, or room perspectives with a single click

💻 Technical Specifications 💻

🔥 Core Requirements

  • Python 3.8+: Leverages the latest Python features for optimal performance
  • Modern OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
  • Display: 1280x720 or higher resolution for optimal UI experience
  • Tkinter: Included with standard Python for seamless GUI integration

🔓 Optional Packages (for enhanced functionality)

  • Pandas: For Excel export and data manipulation
  • Matplotlib: For data visualization and insights
  • NumPy: For advanced numerical computations and optimization
  • Pillow: For image handling and customization
  • ReportLab: For PDF export and professional reporting

🚀 Quick Start Guide 🚀

📍 Installation

# Clone or download the repository.# Install all recommended dependencies for the full experience
pip install pandas matplotlib numpy pillow reportlab

🔔 Launching the Application

# Simply run the main Python file
python krutarth.py
# For debug mode with additional logging
python krutarth.py --debug

📃 Step-by-Step Workflow

  1. Initial Setup 🌐

    • Navigate to the Input tab to configure academic year and terms
    • Set working days and institution-specific parameters
    • Customize application appearance through the Settings tab
  2. Data Entry 📝

    • Add faculty details including availability and specializations
    • Define subjects with their requirements and constraints
    • Configure classrooms, labs, and other resources
  3. Timetable Generation

    • Select target semesters and divisions
    • Choose optimization parameters
    • Generate your timetable with a single click
  4. Refinement & Analysis 🔍

    • Review generated timetable for any manual adjustments
    • Use the Analytics tab to identify potential improvements
    • Apply optimization algorithms for further refinement
  5. Export & Share 📤

    • Export to your preferred format (Excel, PDF, etc.)
    • Print physical copies or distribute digitally
    • Save configurations for future terms

💡 Tips 💡

🌟 Maximizing Timetable Quality

  • Complete Faculty Profiles: Enter detailed faculty availability patterns including preferred teaching hours and specialized skills
  • Constraint Prioritization: Define a clear hierarchy of constraints (hard vs. soft) to guide the optimization engine
  • Iterative Refinement: Use the analytics dashboard after each generation to identify and address specific bottlenecks
  • Strategic Room Allocation: Group similar subjects in nearby rooms to minimize transit time for both students and faculty
  • Balanced Workload: Distribute teaching hours evenly throughout the week to prevent faculty fatigue

🔥 Power User Techniques

  • Template Creation: Save successful timetable configurations as templates for future terms
  • Custom Optimization Rules: Define institution-specific rules to address unique scheduling requirements
  • Batch Processing: Generate multiple timetable variants simultaneously to compare different approaches
  • Constraint Relaxation: Temporarily relax non-critical constraints to find innovative scheduling solutions
  • Incremental Scheduling: For complex institutions, schedule departments sequentially in order of constraint complexity

📝 License & Copyright 📝

Copyright

ALL RIGHTS RESERVED

This software is developed by webKing021. you can use the code for your education or more enhancement for generating Time table. so feel free to use.


About

I have created this project in Semester-4 in subject Python to help out in making of generating the timetable through the algorithm based on Python. The project is created just for learning purpose, so anyone can use this.

Topics

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

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10 Commits

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Last commit message
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🏫 College Timetable Generator for LJ University 🏫

🌟Developed by webKing021🌟

Timetable GeneratorPythonTkinterVersion

🎓 Overview 🎓

The College Timetable Generator is a revolutionary software solution meticulously to transform the challenging task of academic scheduling into a seamless experience. This state-of-the-art application harnesses cutting-edge algorithms and intuitive design to create optimal, conflict-free timetables for educational institutions of all sizes.

Built with a deep understanding of the complexities faced by academic schedulers, this application represents the perfect fusion of technical excellence and practical utility. Every feature has been thoughtfully implemented to address real-world scheduling challenges that colleges and universities face daily.

✨ Revolutionary Features ✨

🚀 Intelligent Core Engine

  • Advanced Timetable Algorithm: Proprietary scheduling algorithm that optimizes timetables based on multiple constraints simultaneously
  • Smart Conflict Resolution: AI-inspired conflict detection and resolution system that automatically suggests optimal solutions
  • Versatile Export System: One-click export to Excel, PDF, and other formats with professionally designed templates
  • Real-time Validation: Continuous validation ensures timetable integrity at every step

👨‍🏫 Comprehensive Management Suite

  • Faculty Dashboard: Complete faculty profile management with customizable availability patterns and specialization tracking
  • Subject Hierarchy System: Sophisticated subject organization with prerequisites, co-requisites, and priority settings
  • Dynamic Resource Allocation: Intelligent classroom and lab assignment based on equipment needs, capacity, and proximity
  • Batch & Division Handling: Effortlessly manage multiple batches, divisions, and elective groups

📊 Advanced Analytics Platform

  • Interactive Workload Visualization: Dynamic charts and heatmaps showing faculty workload distribution
  • Resource Utilization Metrics: Comprehensive analytics on space utilization with efficiency recommendations
  • Conflict Analysis Tools: Detailed diagnostic tools to identify and resolve scheduling bottlenecks
  • Comparative Analysis: Compare different timetable versions to identify optimal solutions

🎨 Premium User Experience

  • Customizable UI: Sleek, modern interface with multiple theme options and personalization features
  • Robust History Management: Comprehensive undo/redo system with named snapshots and comparison tools
  • Interactive Help System: Context-sensitive guidance and comprehensive documentation
  • Multi-view Timetables: View schedules from faculty, student, or room perspectives with a single click

💻 Technical Specifications 💻

🔥 Core Requirements

  • Python 3.8+: Leverages the latest Python features for optimal performance
  • Modern OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
  • Display: 1280x720 or higher resolution for optimal UI experience
  • Tkinter: Included with standard Python for seamless GUI integration

🔓 Optional Packages (for enhanced functionality)

  • Pandas: For Excel export and data manipulation
  • Matplotlib: For data visualization and insights
  • NumPy: For advanced numerical computations and optimization
  • Pillow: For image handling and customization
  • ReportLab: For PDF export and professional reporting

🚀 Quick Start Guide 🚀

📍 Installation

# Clone or download the repository.# Install all recommended dependencies for the full experience
pip install pandas matplotlib numpy pillow reportlab

🔔 Launching the Application

# Simply run the main Python file
python krutarth.py
# For debug mode with additional logging
python krutarth.py --debug

📃 Step-by-Step Workflow

  1. Initial Setup 🌐

    • Navigate to the Input tab to configure academic year and terms
    • Set working days and institution-specific parameters
    • Customize application appearance through the Settings tab
  2. Data Entry 📝

    • Add faculty details including availability and specializations
    • Define subjects with their requirements and constraints
    • Configure classrooms, labs, and other resources
  3. Timetable Generation

    • Select target semesters and divisions
    • Choose optimization parameters
    • Generate your timetable with a single click
  4. Refinement & Analysis 🔍

    • Review generated timetable for any manual adjustments
    • Use the Analytics tab to identify potential improvements
    • Apply optimization algorithms for further refinement
  5. Export & Share 📤

    • Export to your preferred format (Excel, PDF, etc.)
    • Print physical copies or distribute digitally
    • Save configurations for future terms

💡 Tips 💡

🌟 Maximizing Timetable Quality

  • Complete Faculty Profiles: Enter detailed faculty availability patterns including preferred teaching hours and specialized skills
  • Constraint Prioritization: Define a clear hierarchy of constraints (hard vs. soft) to guide the optimization engine
  • Iterative Refinement: Use the analytics dashboard after each generation to identify and address specific bottlenecks
  • Strategic Room Allocation: Group similar subjects in nearby rooms to minimize transit time for both students and faculty
  • Balanced Workload: Distribute teaching hours evenly throughout the week to prevent faculty fatigue

🔥 Power User Techniques

  • Template Creation: Save successful timetable configurations as templates for future terms
  • Custom Optimization Rules: Define institution-specific rules to address unique scheduling requirements
  • Batch Processing: Generate multiple timetable variants simultaneously to compare different approaches
  • Constraint Relaxation: Temporarily relax non-critical constraints to find innovative scheduling solutions
  • Incremental Scheduling: For complex institutions, schedule departments sequentially in order of constraint complexity

📝 License & Copyright 📝

Copyright

ALL RIGHTS RESERVED

This software is developed by webKing021. you can use the code for your education or more enhancement for generating Time table. so feel free to use.


About

I have created this project in Semester-4 in subject Python to help out in making of generating the timetable through the algorithm based on Python. The project is created just for learning purpose, so anyone can use this.

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Resources

Stars

1 star

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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🏫 College Timetable Generator for LJ University 🏫

🌟Developed by webKing021🌟

Timetable GeneratorPythonTkinterVersion

🎓 Overview 🎓

The College Timetable Generator is a revolutionary software solution meticulously to transform the challenging task of academic scheduling into a seamless experience. This state-of-the-art application harnesses cutting-edge algorithms and intuitive design to create optimal, conflict-free timetables for educational institutions of all sizes.

Built with a deep understanding of the complexities faced by academic schedulers, this application represents the perfect fusion of technical excellence and practical utility. Every feature has been thoughtfully implemented to address real-world scheduling challenges that colleges and universities face daily.

✨ Revolutionary Features ✨

🚀 Intelligent Core Engine

  • Advanced Timetable Algorithm: Proprietary scheduling algorithm that optimizes timetables based on multiple constraints simultaneously
  • Smart Conflict Resolution: AI-inspired conflict detection and resolution system that automatically suggests optimal solutions
  • Versatile Export System: One-click export to Excel, PDF, and other formats with professionally designed templates
  • Real-time Validation: Continuous validation ensures timetable integrity at every step

👨‍🏫 Comprehensive Management Suite

  • Faculty Dashboard: Complete faculty profile management with customizable availability patterns and specialization tracking
  • Subject Hierarchy System: Sophisticated subject organization with prerequisites, co-requisites, and priority settings
  • Dynamic Resource Allocation: Intelligent classroom and lab assignment based on equipment needs, capacity, and proximity
  • Batch & Division Handling: Effortlessly manage multiple batches, divisions, and elective groups

📊 Advanced Analytics Platform

  • Interactive Workload Visualization: Dynamic charts and heatmaps showing faculty workload distribution
  • Resource Utilization Metrics: Comprehensive analytics on space utilization with efficiency recommendations
  • Conflict Analysis Tools: Detailed diagnostic tools to identify and resolve scheduling bottlenecks
  • Comparative Analysis: Compare different timetable versions to identify optimal solutions

🎨 Premium User Experience

  • Customizable UI: Sleek, modern interface with multiple theme options and personalization features
  • Robust History Management: Comprehensive undo/redo system with named snapshots and comparison tools
  • Interactive Help System: Context-sensitive guidance and comprehensive documentation
  • Multi-view Timetables: View schedules from faculty, student, or room perspectives with a single click

💻 Technical Specifications 💻

🔥 Core Requirements

  • Python 3.8+: Leverages the latest Python features for optimal performance
  • Modern OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
  • Display: 1280x720 or higher resolution for optimal UI experience
  • Tkinter: Included with standard Python for seamless GUI integration

🔓 Optional Packages (for enhanced functionality)

  • Pandas: For Excel export and data manipulation
  • Matplotlib: For data visualization and insights
  • NumPy: For advanced numerical computations and optimization
  • Pillow: For image handling and customization
  • ReportLab: For PDF export and professional reporting

🚀 Quick Start Guide 🚀

📍 Installation

# Clone or download the repository.# Install all recommended dependencies for the full experience
pip install pandas matplotlib numpy pillow reportlab

🔔 Launching the Application

# Simply run the main Python file
python krutarth.py
# For debug mode with additional logging
python krutarth.py --debug

📃 Step-by-Step Workflow

  1. Initial Setup 🌐

    • Navigate to the Input tab to configure academic year and terms
    • Set working days and institution-specific parameters
    • Customize application appearance through the Settings tab
  2. Data Entry 📝

    • Add faculty details including availability and specializations
    • Define subjects with their requirements and constraints
    • Configure classrooms, labs, and other resources
  3. Timetable Generation

    • Select target semesters and divisions
    • Choose optimization parameters
    • Generate your timetable with a single click
  4. Refinement & Analysis 🔍

    • Review generated timetable for any manual adjustments
    • Use the Analytics tab to identify potential improvements
    • Apply optimization algorithms for further refinement
  5. Export & Share 📤

    • Export to your preferred format (Excel, PDF, etc.)
    • Print physical copies or distribute digitally
    • Save configurations for future terms

💡 Tips 💡

🌟 Maximizing Timetable Quality

  • Complete Faculty Profiles: Enter detailed faculty availability patterns including preferred teaching hours and specialized skills
  • Constraint Prioritization: Define a clear hierarchy of constraints (hard vs. soft) to guide the optimization engine
  • Iterative Refinement: Use the analytics dashboard after each generation to identify and address specific bottlenecks
  • Strategic Room Allocation: Group similar subjects in nearby rooms to minimize transit time for both students and faculty
  • Balanced Workload: Distribute teaching hours evenly throughout the week to prevent faculty fatigue

🔥 Power User Techniques

  • Template Creation: Save successful timetable configurations as templates for future terms
  • Custom Optimization Rules: Define institution-specific rules to address unique scheduling requirements
  • Batch Processing: Generate multiple timetable variants simultaneously to compare different approaches
  • Constraint Relaxation: Temporarily relax non-critical constraints to find innovative scheduling solutions
  • Incremental Scheduling: For complex institutions, schedule departments sequentially in order of constraint complexity

📝 License & Copyright 📝

Copyright

ALL RIGHTS RESERVED

This software is developed by webKing021. you can use the code for your education or more enhancement for generating Time table. so feel free to use.


About

I have created this project in Semester-4 in subject Python to help out in making of generating the timetable through the algorithm based on Python. The project is created just for learning purpose, so anyone can use this.

Topics

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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🏫 College Timetable Generator for LJ University 🏫

🌟Developed by webKing021🌟

Timetable GeneratorPythonTkinterVersion

🎓 Overview 🎓

The College Timetable Generator is a revolutionary software solution meticulously to transform the challenging task of academic scheduling into a seamless experience. This state-of-the-art application harnesses cutting-edge algorithms and intuitive design to create optimal, conflict-free timetables for educational institutions of all sizes.

Built with a deep understanding of the complexities faced by academic schedulers, this application represents the perfect fusion of technical excellence and practical utility. Every feature has been thoughtfully implemented to address real-world scheduling challenges that colleges and universities face daily.

✨ Revolutionary Features ✨

🚀 Intelligent Core Engine

  • Advanced Timetable Algorithm: Proprietary scheduling algorithm that optimizes timetables based on multiple constraints simultaneously
  • Smart Conflict Resolution: AI-inspired conflict detection and resolution system that automatically suggests optimal solutions
  • Versatile Export System: One-click export to Excel, PDF, and other formats with professionally designed templates
  • Real-time Validation: Continuous validation ensures timetable integrity at every step

👨‍🏫 Comprehensive Management Suite

  • Faculty Dashboard: Complete faculty profile management with customizable availability patterns and specialization tracking
  • Subject Hierarchy System: Sophisticated subject organization with prerequisites, co-requisites, and priority settings
  • Dynamic Resource Allocation: Intelligent classroom and lab assignment based on equipment needs, capacity, and proximity
  • Batch & Division Handling: Effortlessly manage multiple batches, divisions, and elective groups

📊 Advanced Analytics Platform

  • Interactive Workload Visualization: Dynamic charts and heatmaps showing faculty workload distribution
  • Resource Utilization Metrics: Comprehensive analytics on space utilization with efficiency recommendations
  • Conflict Analysis Tools: Detailed diagnostic tools to identify and resolve scheduling bottlenecks
  • Comparative Analysis: Compare different timetable versions to identify optimal solutions

🎨 Premium User Experience

  • Customizable UI: Sleek, modern interface with multiple theme options and personalization features
  • Robust History Management: Comprehensive undo/redo system with named snapshots and comparison tools
  • Interactive Help System: Context-sensitive guidance and comprehensive documentation
  • Multi-view Timetables: View schedules from faculty, student, or room perspectives with a single click

💻 Technical Specifications 💻

🔥 Core Requirements

  • Python 3.8+: Leverages the latest Python features for optimal performance
  • Modern OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
  • Display: 1280x720 or higher resolution for optimal UI experience
  • Tkinter: Included with standard Python for seamless GUI integration

🔓 Optional Packages (for enhanced functionality)

  • Pandas: For Excel export and data manipulation
  • Matplotlib: For data visualization and insights
  • NumPy: For advanced numerical computations and optimization
  • Pillow: For image handling and customization
  • ReportLab: For PDF export and professional reporting

🚀 Quick Start Guide 🚀

📍 Installation

# Clone or download the repository.# Install all recommended dependencies for the full experience
pip install pandas matplotlib numpy pillow reportlab

🔔 Launching the Application

# Simply run the main Python file
python krutarth.py
# For debug mode with additional logging
python krutarth.py --debug

📃 Step-by-Step Workflow

  1. Initial Setup 🌐

    • Navigate to the Input tab to configure academic year and terms
    • Set working days and institution-specific parameters
    • Customize application appearance through the Settings tab
  2. Data Entry 📝

    • Add faculty details including availability and specializations
    • Define subjects with their requirements and constraints
    • Configure classrooms, labs, and other resources
  3. Timetable Generation

    • Select target semesters and divisions
    • Choose optimization parameters
    • Generate your timetable with a single click
  4. Refinement & Analysis 🔍

    • Review generated timetable for any manual adjustments
    • Use the Analytics tab to identify potential improvements
    • Apply optimization algorithms for further refinement
  5. Export & Share 📤

    • Export to your preferred format (Excel, PDF, etc.)
    • Print physical copies or distribute digitally
    • Save configurations for future terms

💡 Tips 💡

🌟 Maximizing Timetable Quality

  • Complete Faculty Profiles: Enter detailed faculty availability patterns including preferred teaching hours and specialized skills
  • Constraint Prioritization: Define a clear hierarchy of constraints (hard vs. soft) to guide the optimization engine
  • Iterative Refinement: Use the analytics dashboard after each generation to identify and address specific bottlenecks
  • Strategic Room Allocation: Group similar subjects in nearby rooms to minimize transit time for both students and faculty
  • Balanced Workload: Distribute teaching hours evenly throughout the week to prevent faculty fatigue

🔥 Power User Techniques

  • Template Creation: Save successful timetable configurations as templates for future terms
  • Custom Optimization Rules: Define institution-specific rules to address unique scheduling requirements
  • Batch Processing: Generate multiple timetable variants simultaneously to compare different approaches
  • Constraint Relaxation: Temporarily relax non-critical constraints to find innovative scheduling solutions
  • Incremental Scheduling: For complex institutions, schedule departments sequentially in order of constraint complexity

📝 License & Copyright 📝

Copyright

ALL RIGHTS RESERVED

This software is developed by webKing021. you can use the code for your education or more enhancement for generating Time table. so feel free to use.


About

I have created this project in Semester-4 in subject Python to help out in making of generating the timetable through the algorithm based on Python. The project is created just for learning purpose, so anyone can use this.

Topics

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

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Folders and files

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Last commit message
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🏫 College Timetable Generator for LJ University 🏫

🌟Developed by webKing021🌟

Timetable GeneratorPythonTkinterVersion

🎓 Overview 🎓

The College Timetable Generator is a revolutionary software solution meticulously to transform the challenging task of academic scheduling into a seamless experience. This state-of-the-art application harnesses cutting-edge algorithms and intuitive design to create optimal, conflict-free timetables for educational institutions of all sizes.

Built with a deep understanding of the complexities faced by academic schedulers, this application represents the perfect fusion of technical excellence and practical utility. Every feature has been thoughtfully implemented to address real-world scheduling challenges that colleges and universities face daily.

✨ Revolutionary Features ✨

🚀 Intelligent Core Engine

  • Advanced Timetable Algorithm: Proprietary scheduling algorithm that optimizes timetables based on multiple constraints simultaneously
  • Smart Conflict Resolution: AI-inspired conflict detection and resolution system that automatically suggests optimal solutions
  • Versatile Export System: One-click export to Excel, PDF, and other formats with professionally designed templates
  • Real-time Validation: Continuous validation ensures timetable integrity at every step

👨‍🏫 Comprehensive Management Suite

  • Faculty Dashboard: Complete faculty profile management with customizable availability patterns and specialization tracking
  • Subject Hierarchy System: Sophisticated subject organization with prerequisites, co-requisites, and priority settings
  • Dynamic Resource Allocation: Intelligent classroom and lab assignment based on equipment needs, capacity, and proximity
  • Batch & Division Handling: Effortlessly manage multiple batches, divisions, and elective groups

📊 Advanced Analytics Platform

  • Interactive Workload Visualization: Dynamic charts and heatmaps showing faculty workload distribution
  • Resource Utilization Metrics: Comprehensive analytics on space utilization with efficiency recommendations
  • Conflict Analysis Tools: Detailed diagnostic tools to identify and resolve scheduling bottlenecks
  • Comparative Analysis: Compare different timetable versions to identify optimal solutions

🎨 Premium User Experience

  • Customizable UI: Sleek, modern interface with multiple theme options and personalization features
  • Robust History Management: Comprehensive undo/redo system with named snapshots and comparison tools
  • Interactive Help System: Context-sensitive guidance and comprehensive documentation
  • Multi-view Timetables: View schedules from faculty, student, or room perspectives with a single click

💻 Technical Specifications 💻

🔥 Core Requirements

  • Python 3.8+: Leverages the latest Python features for optimal performance
  • Modern OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 20.04+)
  • Display: 1280x720 or higher resolution for optimal UI experience
  • Tkinter: Included with standard Python for seamless GUI integration

🔓 Optional Packages (for enhanced functionality)

  • Pandas: For Excel export and data manipulation
  • Matplotlib: For data visualization and insights
  • NumPy: For advanced numerical computations and optimization
  • Pillow: For image handling and customization
  • ReportLab: For PDF export and professional reporting

🚀 Quick Start Guide 🚀

📍 Installation

# Clone or download the repository.# Install all recommended dependencies for the full experience
pip install pandas matplotlib numpy pillow reportlab

🔔 Launching the Application

# Simply run the main Python file
python krutarth.py
# For debug mode with additional logging
python krutarth.py --debug

📃 Step-by-Step Workflow

  1. Initial Setup 🌐

    • Navigate to the Input tab to configure academic year and terms
    • Set working days and institution-specific parameters
    • Customize application appearance through the Settings tab
  2. Data Entry 📝

    • Add faculty details including availability and specializations
    • Define subjects with their requirements and constraints
    • Configure classrooms, labs, and other resources
  3. Timetable Generation

    • Select target semesters and divisions
    • Choose optimization parameters
    • Generate your timetable with a single click
  4. Refinement & Analysis 🔍

    • Review generated timetable for any manual adjustments
    • Use the Analytics tab to identify potential improvements
    • Apply optimization algorithms for further refinement
  5. Export & Share 📤

    • Export to your preferred format (Excel, PDF, etc.)
    • Print physical copies or distribute digitally
    • Save configurations for future terms

💡 Tips 💡

🌟 Maximizing Timetable Quality

  • Complete Faculty Profiles: Enter detailed faculty availability patterns including preferred teaching hours and specialized skills
  • Constraint Prioritization: Define a clear hierarchy of constraints (hard vs. soft) to guide the optimization engine
  • Iterative Refinement: Use the analytics dashboard after each generation to identify and address specific bottlenecks
  • Strategic Room Allocation: Group similar subjects in nearby rooms to minimize transit time for both students and faculty
  • Balanced Workload: Distribute teaching hours evenly throughout the week to prevent faculty fatigue

🔥 Power User Techniques

  • Template Creation: Save successful timetable configurations as templates for future terms
  • Custom Optimization Rules: Define institution-specific rules to address unique scheduling requirements
  • Batch Processing: Generate multiple timetable variants simultaneously to compare different approaches
  • Constraint Relaxation: Temporarily relax non-critical constraints to find innovative scheduling solutions
  • Incremental Scheduling: For complex institutions, schedule departments sequentially in order of constraint complexity

📝 License & Copyright 📝

Copyright

ALL RIGHTS RESERVED

This software is developed by webKing021. you can use the code for your education or more enhancement for generating Time table. so feel free to use.


About

I have created this project in Semester-4 in subject Python to help out in making of generating the timetable through the algorithm based on Python. The project is created just for learning purpose, so anyone can use this.

Topics

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages