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    Achievements

    Achievement: Pull Shark

    Highlights

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    DODA-2005/README.md

    Hi, I’m Pranav 👋

    I work at the intersection of robotics, computer vision, and embedded systems, with a focus on building systems that connect physical interaction with real-time software intelligence.

    My projects range from vision-controlled electromechanical systems to computer-vision–driven digital twins for physical modeling and visualization.

    What I work on

    • Robotics & Embedded Systems
      Microcontrollers, motor control, sensor integration, custom PCBs

    • Computer Vision
      Real-time tracking, geometric modeling, vision-based interaction systems

    • AI & Intelligent Systems
      Practical ML, perception pipelines, system-level integration

    • Hardware–Software Co-design
      Designing systems where software constraints are driven by physical behavior

    Selected Projects

    • Vision-Controlled Robotic Hand
      Real-time hand-tracking–based control of a physical robotic hand using computer vision and embedded control.

    • Cantilever Beam Digital Twin (Computer Vision)
      A vision-driven, interaction-based digital twin for visualizing beam deflection and load behavior in real time.

    • High-Speed Line Follower Robot (LFR)
      Competition-grade line follower with custom PCB design, PID control, and high-speed tuning.

    How I build

    • Python, C/C++, Embedded C
    • OpenCV, MediaPipe
    • Microcontrollers (Teensy, Arduino, ESP-class)
    • Custom PCBs, rapid prototyping, hardware testing

    Currently exploring

    • Advanced control systems
    • Vision-based physical modeling
    • Robust embedded architectures for real-time systems

    📫 Reach me on LinkedIn
    https://www.linkedin.com/in/pranav-anil-b02199242/

    Pinned Loading

    1. vision-controlled-robotic-handvision-controlled-robotic-handPublic

      A fully functional vision-controlled robotic hand using OpenCV & MediaPipe, custom PCB hardware, and Arduino-based embedded control.

      Python 4

    2. teensy4.1-lfr-pcbteensy4.1-lfr-pcbPublic

      Open-source Teensy 4.1–based Line Follower Robot PCB designed for high-speed competition use, featuring optimized sensor layout and motor driver variants.

      4

    3. Cantilever-Beam-Digital-Twin-using-Computer-VisionCantilever-Beam-Digital-Twin-using-Computer-VisionPublic

      A vision-driven, interaction-based digital twin of a cantilever beam, using real-time hand tracking to emulate point-load application and visualize qualitative bending behavior.

      Python

    , '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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      Achievement: Pull Shark
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      DODA-2005/README.md
      Hi, I’m Pranav 👋
      I work at the intersection of robotics, computer vision, and embedded systems, with a focus on building systems that connect physical interaction with real-time software intelligence.
      My projects range from vision-controlled electromechanical systems to computer-vision–driven digital twins for physical modeling and visualization.
      What I work on
      • Robotics & Embedded Systems
        
Microcontrollers, motor control, sensor integration, custom PCBs
      • Computer Vision
        
Real-time tracking, geometric modeling, vision-based interaction systems
      • AI & Intelligent Systems
        
Practical ML, perception pipelines, system-level integration
      • Hardware–Software Co-design
        
Designing systems where software constraints are driven by physical behavior
      Selected Projects
      • Vision-Controlled Robotic Hand
        
Real-time hand-tracking–based control of a physical robotic hand using computer vision and embedded control.
      • Cantilever Beam Digital Twin (Computer Vision)
        
A vision-driven, interaction-based digital twin for visualizing beam deflection and load behavior in real time.
      • High-Speed Line Follower Robot (LFR)
        
Competition-grade line follower with custom PCB design, PID control, and high-speed tuning.
      How I build
      • Python, C/C++, Embedded C
      • OpenCV, MediaPipe
      • Microcontrollers (Teensy, Arduino, ESP-class)
      • Custom PCBs, rapid prototyping, hardware testing
      Currently exploring
      • Advanced control systems
      • Vision-based physical modeling
      • Robust embedded architectures for real-time systems
      📫 Reach me on LinkedIn
      https://www.linkedin.com/in/pranav-anil-b02199242/
      
Pinned
Loading
      1. vision-controlled-robotic-handvision-controlled-robotic-handPublic
        
A fully functional vision-controlled robotic hand using OpenCV & MediaPipe, custom PCB hardware, and Arduino-based embedded control.

        Python
4

      2. teensy4.1-lfr-pcbteensy4.1-lfr-pcbPublic
        
Open-source Teensy 4.1–based Line Follower Robot PCB designed for high-speed competition use, featuring optimized sensor layout and motor driver variants.

        
4

      3. Cantilever-Beam-Digital-Twin-using-Computer-VisionCantilever-Beam-Digital-Twin-using-Computer-VisionPublic
        
A vision-driven, interaction-based digital twin of a cantilever beam, using real-time hand tracking to emulate point-load application and visualize qualitative bending behavior.

        Python
      
, '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
      View DODA-2005's full-sized avatar
      8
followers
 · 5
following

        Achievements
        Achievement: Pull Shark
        Achievements
        Achievement: Pull Shark
        Highlights
        • 
Pro

        
Block or report DODA-2005

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        DODA-2005/README.md
        Hi, I’m Pranav 👋
        I work at the intersection of robotics, computer vision, and embedded systems, with a focus on building systems that connect physical interaction with real-time software intelligence.
        My projects range from vision-controlled electromechanical systems to computer-vision–driven digital twins for physical modeling and visualization.
        What I work on
        • Robotics & Embedded Systems
          
Microcontrollers, motor control, sensor integration, custom PCBs
        • Computer Vision
          
Real-time tracking, geometric modeling, vision-based interaction systems
        • AI & Intelligent Systems
          
Practical ML, perception pipelines, system-level integration
        • Hardware–Software Co-design
          
Designing systems where software constraints are driven by physical behavior
        Selected Projects
        • Vision-Controlled Robotic Hand
          
Real-time hand-tracking–based control of a physical robotic hand using computer vision and embedded control.
        • Cantilever Beam Digital Twin (Computer Vision)
          
A vision-driven, interaction-based digital twin for visualizing beam deflection and load behavior in real time.
        • High-Speed Line Follower Robot (LFR)
          
Competition-grade line follower with custom PCB design, PID control, and high-speed tuning.
        How I build
        • Python, C/C++, Embedded C
        • OpenCV, MediaPipe
        • Microcontrollers (Teensy, Arduino, ESP-class)
        • Custom PCBs, rapid prototyping, hardware testing
        Currently exploring
        • Advanced control systems
        • Vision-based physical modeling
        • Robust embedded architectures for real-time systems
        📫 Reach me on LinkedIn
        https://www.linkedin.com/in/pranav-anil-b02199242/
        
Pinned
Loading
        1. vision-controlled-robotic-handvision-controlled-robotic-handPublic
          
A fully functional vision-controlled robotic hand using OpenCV & MediaPipe, custom PCB hardware, and Arduino-based embedded control.

          Python
4

        2. teensy4.1-lfr-pcbteensy4.1-lfr-pcbPublic
          
Open-source Teensy 4.1–based Line Follower Robot PCB designed for high-speed competition use, featuring optimized sensor layout and motor driver variants.

          
4

        3. Cantilever-Beam-Digital-Twin-using-Computer-VisionCantilever-Beam-Digital-Twin-using-Computer-VisionPublic
          
A vision-driven, interaction-based digital twin of a cantilever beam, using real-time hand tracking to emulate point-load application and visualize qualitative bending behavior.

          Python
        
, '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('^' + ".*" + '

        Skip to content
        View DODA-2005's full-sized avatar
        8
followers
 · 5
following

          Achievements
          Achievement: Pull Shark
          Achievements
          Achievement: Pull Shark
          Highlights
          • 
Pro

          
Block or report DODA-2005

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          DODA-2005/README.md
          Hi, I’m Pranav 👋
          I work at the intersection of robotics, computer vision, and embedded systems, with a focus on building systems that connect physical interaction with real-time software intelligence.
          My projects range from vision-controlled electromechanical systems to computer-vision–driven digital twins for physical modeling and visualization.
          What I work on
          • Robotics & Embedded Systems
            
Microcontrollers, motor control, sensor integration, custom PCBs
          • Computer Vision
            
Real-time tracking, geometric modeling, vision-based interaction systems
          • AI & Intelligent Systems
            
Practical ML, perception pipelines, system-level integration
          • Hardware–Software Co-design
            
Designing systems where software constraints are driven by physical behavior
          Selected Projects
          • Vision-Controlled Robotic Hand
            
Real-time hand-tracking–based control of a physical robotic hand using computer vision and embedded control.
          • Cantilever Beam Digital Twin (Computer Vision)
            
A vision-driven, interaction-based digital twin for visualizing beam deflection and load behavior in real time.
          • High-Speed Line Follower Robot (LFR)
            
Competition-grade line follower with custom PCB design, PID control, and high-speed tuning.
          How I build
          • Python, C/C++, Embedded C
          • OpenCV, MediaPipe
          • Microcontrollers (Teensy, Arduino, ESP-class)
          • Custom PCBs, rapid prototyping, hardware testing
          Currently exploring
          • Advanced control systems
          • Vision-based physical modeling
          • Robust embedded architectures for real-time systems
          📫 Reach me on LinkedIn
          https://www.linkedin.com/in/pranav-anil-b02199242/
          
Pinned
Loading
          1. vision-controlled-robotic-handvision-controlled-robotic-handPublic
            
A fully functional vision-controlled robotic hand using OpenCV & MediaPipe, custom PCB hardware, and Arduino-based embedded control.

            Python
4

          2. teensy4.1-lfr-pcbteensy4.1-lfr-pcbPublic
            
Open-source Teensy 4.1–based Line Follower Robot PCB designed for high-speed competition use, featuring optimized sensor layout and motor driver variants.

            
4

          3. Cantilever-Beam-Digital-Twin-using-Computer-VisionCantilever-Beam-Digital-Twin-using-Computer-VisionPublic
            
A vision-driven, interaction-based digital twin of a cantilever beam, using real-time hand tracking to emulate point-load application and visualize qualitative bending behavior.

            Python
          
, '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
          View DODA-2005's full-sized avatar
          8
followers
 · 5
following

            Achievements
            Achievement: Pull Shark
            Achievements
            Achievement: Pull Shark
            Highlights
            • 
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Block or report DODA-2005

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            DODA-2005/README.md
            Hi, I’m Pranav 👋
            I work at the intersection of robotics, computer vision, and embedded systems, with a focus on building systems that connect physical interaction with real-time software intelligence.
            My projects range from vision-controlled electromechanical systems to computer-vision–driven digital twins for physical modeling and visualization.
            What I work on
            • Robotics & Embedded Systems
              
Microcontrollers, motor control, sensor integration, custom PCBs
            • Computer Vision
              
Real-time tracking, geometric modeling, vision-based interaction systems
            • AI & Intelligent Systems
              
Practical ML, perception pipelines, system-level integration
            • Hardware–Software Co-design
              
Designing systems where software constraints are driven by physical behavior
            Selected Projects
            • Vision-Controlled Robotic Hand
              
Real-time hand-tracking–based control of a physical robotic hand using computer vision and embedded control.
            • Cantilever Beam Digital Twin (Computer Vision)
              
A vision-driven, interaction-based digital twin for visualizing beam deflection and load behavior in real time.
            • High-Speed Line Follower Robot (LFR)
              
Competition-grade line follower with custom PCB design, PID control, and high-speed tuning.
            How I build
            • Python, C/C++, Embedded C
            • OpenCV, MediaPipe
            • Microcontrollers (Teensy, Arduino, ESP-class)
            • Custom PCBs, rapid prototyping, hardware testing
            Currently exploring
            • Advanced control systems
            • Vision-based physical modeling
            • Robust embedded architectures for real-time systems
            📫 Reach me on LinkedIn
            https://www.linkedin.com/in/pranav-anil-b02199242/
            
Pinned
Loading
            1. vision-controlled-robotic-handvision-controlled-robotic-handPublic
              
A fully functional vision-controlled robotic hand using OpenCV & MediaPipe, custom PCB hardware, and Arduino-based embedded control.

              Python
4

            2. teensy4.1-lfr-pcbteensy4.1-lfr-pcbPublic
              
Open-source Teensy 4.1–based Line Follower Robot PCB designed for high-speed competition use, featuring optimized sensor layout and motor driver variants.

              
4

            3. Cantilever-Beam-Digital-Twin-using-Computer-VisionCantilever-Beam-Digital-Twin-using-Computer-VisionPublic
              
A vision-driven, interaction-based digital twin of a cantilever beam, using real-time hand tracking to emulate point-load application and visualize qualitative bending behavior.

              Python
            
, '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('^' + ".*" + '

            Skip to content
            View DODA-2005's full-sized avatar
            8
followers
 · 5
following

              Achievements
              Achievement: Pull Shark
              Achievements
              Achievement: Pull Shark
              Highlights
              • 
Pro

              
Block or report DODA-2005

              Block user
              
Prevent this user from interacting with your repositories and sending you notifications.
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Content in all repositories owned by your account will be closed.

              
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              Report abuse
              
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              Report abuse
              DODA-2005/README.md
              Hi, I’m Pranav 👋
              I work at the intersection of robotics, computer vision, and embedded systems, with a focus on building systems that connect physical interaction with real-time software intelligence.
              My projects range from vision-controlled electromechanical systems to computer-vision–driven digital twins for physical modeling and visualization.
              What I work on
              • Robotics & Embedded Systems
                
Microcontrollers, motor control, sensor integration, custom PCBs
              • Computer Vision
                
Real-time tracking, geometric modeling, vision-based interaction systems
              • AI & Intelligent Systems
                
Practical ML, perception pipelines, system-level integration
              • Hardware–Software Co-design
                
Designing systems where software constraints are driven by physical behavior
              Selected Projects
              • Vision-Controlled Robotic Hand
                
Real-time hand-tracking–based control of a physical robotic hand using computer vision and embedded control.
              • Cantilever Beam Digital Twin (Computer Vision)
                
A vision-driven, interaction-based digital twin for visualizing beam deflection and load behavior in real time.
              • High-Speed Line Follower Robot (LFR)
                
Competition-grade line follower with custom PCB design, PID control, and high-speed tuning.
              How I build
              • Python, C/C++, Embedded C
              • OpenCV, MediaPipe
              • Microcontrollers (Teensy, Arduino, ESP-class)
              • Custom PCBs, rapid prototyping, hardware testing
              Currently exploring
              • Advanced control systems
              • Vision-based physical modeling
              • Robust embedded architectures for real-time systems
              📫 Reach me on LinkedIn
              https://www.linkedin.com/in/pranav-anil-b02199242/
              
Pinned
Loading
              1. vision-controlled-robotic-handvision-controlled-robotic-handPublic
                
A fully functional vision-controlled robotic hand using OpenCV & MediaPipe, custom PCB hardware, and Arduino-based embedded control.

                Python
4

              2. teensy4.1-lfr-pcbteensy4.1-lfr-pcbPublic
                
Open-source Teensy 4.1–based Line Follower Robot PCB designed for high-speed competition use, featuring optimized sensor layout and motor driver variants.

                
4

              3. Cantilever-Beam-Digital-Twin-using-Computer-VisionCantilever-Beam-Digital-Twin-using-Computer-VisionPublic
                
A vision-driven, interaction-based digital twin of a cantilever beam, using real-time hand tracking to emulate point-load application and visualize qualitative bending behavior.

                Python
              
, '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('^' + ".*" + '

              Skip to content
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                DODA-2005/README.md
                Hi, I’m Pranav 👋
                I work at the intersection of robotics, computer vision, and embedded systems, with a focus on building systems that connect physical interaction with real-time software intelligence.
                My projects range from vision-controlled electromechanical systems to computer-vision–driven digital twins for physical modeling and visualization.
                What I work on
                • Robotics & Embedded Systems
                  
Microcontrollers, motor control, sensor integration, custom PCBs
                • Computer Vision
                  
Real-time tracking, geometric modeling, vision-based interaction systems
                • AI & Intelligent Systems
                  
Practical ML, perception pipelines, system-level integration
                • Hardware–Software Co-design
                  
Designing systems where software constraints are driven by physical behavior
                Selected Projects
                • Vision-Controlled Robotic Hand
                  
Real-time hand-tracking–based control of a physical robotic hand using computer vision and embedded control.
                • Cantilever Beam Digital Twin (Computer Vision)
                  
A vision-driven, interaction-based digital twin for visualizing beam deflection and load behavior in real time.
                • High-Speed Line Follower Robot (LFR)
                  
Competition-grade line follower with custom PCB design, PID control, and high-speed tuning.
                How I build
                • Python, C/C++, Embedded C
                • OpenCV, MediaPipe
                • Microcontrollers (Teensy, Arduino, ESP-class)
                • Custom PCBs, rapid prototyping, hardware testing
                Currently exploring
                • Advanced control systems
                • Vision-based physical modeling
                • Robust embedded architectures for real-time systems
                📫 Reach me on LinkedIn
                https://www.linkedin.com/in/pranav-anil-b02199242/
                
Pinned
Loading
                1. vision-controlled-robotic-handvision-controlled-robotic-handPublic
                  
A fully functional vision-controlled robotic hand using OpenCV & MediaPipe, custom PCB hardware, and Arduino-based embedded control.

                  Python
4

                2. teensy4.1-lfr-pcbteensy4.1-lfr-pcbPublic
                  
Open-source Teensy 4.1–based Line Follower Robot PCB designed for high-speed competition use, featuring optimized sensor layout and motor driver variants.

                  
4

                3. Cantilever-Beam-Digital-Twin-using-Computer-VisionCantilever-Beam-Digital-Twin-using-Computer-VisionPublic
                  
A vision-driven, interaction-based digital twin of a cantilever beam, using real-time hand tracking to emulate point-load application and visualize qualitative bending behavior.

                  Python
                
, '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
                View DODA-2005's full-sized avatar
                8
followers
 · 5
following

                  Achievements
                  Achievement: Pull Shark
                  Achievements
                  Achievement: Pull Shark
                  Highlights
                  • 
Pro

                  
Block or report DODA-2005

                  Block user
                  
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                  Report abuse
                  DODA-2005/README.md
                  Hi, I’m Pranav 👋
                  I work at the intersection of robotics, computer vision, and embedded systems, with a focus on building systems that connect physical interaction with real-time software intelligence.
                  My projects range from vision-controlled electromechanical systems to computer-vision–driven digital twins for physical modeling and visualization.
                  What I work on
                  • Robotics & Embedded Systems
                    
Microcontrollers, motor control, sensor integration, custom PCBs
                  • Computer Vision
                    
Real-time tracking, geometric modeling, vision-based interaction systems
                  • AI & Intelligent Systems
                    
Practical ML, perception pipelines, system-level integration
                  • Hardware–Software Co-design
                    
Designing systems where software constraints are driven by physical behavior
                  Selected Projects
                  • Vision-Controlled Robotic Hand
                    
Real-time hand-tracking–based control of a physical robotic hand using computer vision and embedded control.
                  • Cantilever Beam Digital Twin (Computer Vision)
                    
A vision-driven, interaction-based digital twin for visualizing beam deflection and load behavior in real time.
                  • High-Speed Line Follower Robot (LFR)
                    
Competition-grade line follower with custom PCB design, PID control, and high-speed tuning.
                  How I build
                  • Python, C/C++, Embedded C
                  • OpenCV, MediaPipe
                  • Microcontrollers (Teensy, Arduino, ESP-class)
                  • Custom PCBs, rapid prototyping, hardware testing
                  Currently exploring
                  • Advanced control systems
                  • Vision-based physical modeling
                  • Robust embedded architectures for real-time systems
                  📫 Reach me on LinkedIn
                  https://www.linkedin.com/in/pranav-anil-b02199242/
                  
Pinned
Loading
                  1. vision-controlled-robotic-handvision-controlled-robotic-handPublic
                    
A fully functional vision-controlled robotic hand using OpenCV & MediaPipe, custom PCB hardware, and Arduino-based embedded control.

                    Python
4

                  2. teensy4.1-lfr-pcbteensy4.1-lfr-pcbPublic
                    
Open-source Teensy 4.1–based Line Follower Robot PCB designed for high-speed competition use, featuring optimized sensor layout and motor driver variants.

                    
4

                  3. Cantilever-Beam-Digital-Twin-using-Computer-VisionCantilever-Beam-Digital-Twin-using-Computer-VisionPublic
                    
A vision-driven, interaction-based digital twin of a cantilever beam, using real-time hand tracking to emulate point-load application and visualize qualitative bending behavior.

                    Python