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Asmitha7intech/README.md

Asmitha

Data Science

Python • Machine Learning • FastAPI • React • TypeScript

Building intelligent applications that combine data science, machine learning and modern web engineering.



👩‍💻 About Me

  • 🎓 MSc Data Science student at Coimbatore Institute of Technology
  • 🤖 Focused on Artificial Intelligence, Machine Learning & Data Science
  • 🐍 Building with Python, Scikit-learn & modern ML workflows
  • ⚡ Developing APIs and intelligent applications using FastAPI
  • 💻 Building responsive interfaces with React & TypeScript
  • 🚀 Interested in taking ML ideas from experimentation → deployment
  • 🔬 Exploring AI engineering, NLP, MLOps & full-stack AI
  • 🌱 Constantly improving my problem-solving and software engineering skills

I don't just learn technologies — I build with them.


🛠️ Tech Stack

💻 Languages

🧠 Data Science & Machine Learning

NumPyPandasMatplotlibScikit-learnMachine LearningData AnalysisFeature Engineering

⚡ Backend & APIs

FastAPIREST APIsPydanticAPI Integration

🎨 Frontend

ReactTypeScriptViteTailwind CSSRecharts

🗄️ Databases

PostgreSQLMySQLSQL

🔧 Tools & Engineering

GitGitHubDockerVS CodeJupyter


🚀 Featured Projects

🧠 NeuroBehavior AI

Multimodal AI platform for behavioral screening and adaptive cognitive assessment.

What it does

  • ⌨️ Typing assessment
  • 👀 Attention / Go-No-Go assessment
  • 📖 Reading assessment
  • 📊 Behavioral performance analysis
  • 🤖 ML-powered analysis pipeline
  • ⚡ REST API backend

Tech

PythonFastAPIReactTypeScriptMachine Learning


🔬 VCell-AI

AI-powered platform for discovering, analyzing and exploring biomodels from the VCell ecosystem.

Focus

  • 🧬 Scientific AI
  • 🤖 AI-assisted exploration
  • 🌐 Web application development
  • 🔌 API integration
  • 🐳 Development workflows
  • 🌱 Open-source contribution

Tech

TypeScriptReactPythonAIDocker


📄 AshDoc Studio

A modern text-to-PDF document generation application with a professional editing experience.

Features

  • 📝 Text editing
  • 👁️ Live preview
  • 📄 PDF generation
  • 🎨 Clean user interface
  • ⚡ Fast client-side experience
  • 🚀 Web deployment

Tech

JavaScriptReactWebPDF


📊 Data Science & ML Projects

Practical machine learning work focused on data analysis, regression, prediction and model evaluation.

Areas

  • 📈 Regression
  • 🌾 Crop yield prediction
  • 🧹 Data preprocessing
  • 🔍 Exploratory data analysis
  • ⚙️ Feature engineering
  • 🧠 Neural networks
  • 📏 Model evaluation

Focus

PythonPandasNumPyScikit-learnMatplotlib



🎯 What I'm Currently Building

Project / AreaFocusStatus
🧠 NeuroBehavior AIAI + ML + FastAPI + React🚧 Active
📊 Machine LearningData Science + Model Development🔥 Learning & Building
🌐 Developer PortfolioNext.js + TypeScript + Modern UI🚧 Improving
🔬 Open SourceAI + Scientific Computing🌱 Exploring

🧩 Areas of Interest



🏆 Achievements & Experience

  • 🚀 Building and contributing to AI-powered applications
  • 🔬 Working with open-source scientific AI projects
  • 💻 Developing full-stack applications using React + FastAPI
  • 🧠 Applying machine learning to practical data science problems
  • 🎯 Actively strengthening software engineering and AI engineering skills
  • 🌱 Exploring opportunities in open source, hackathons and technical communities

📚 Certifications & Learning

Currently building a strong foundation across:

  • 🐍 Python Programming
  • 📊 Data Science
  • 🤖 Machine Learning
  • 🗄️ SQL & Databases
  • 🌐 Full-Stack Development
  • 🧠 Natural Language Processing
  • ⚙️ Software Engineering

Certifications will be added here as verified credentials are completed.



💻 Coding & Developer Profiles


🧠 My Engineering Philosophy

📚 Learn

Understand the fundamentals before reaching for abstractions.

🛠️ Build

Turn concepts into working systems and real projects.

🚀 Ship

Test, document, deploy and continuously improve.


🌱 Currently Learning

Artificial Intelligence
↓
Machine Learning
↓
Deep Learning
↓
AI Engineering
↓
MLOps & Deployment
↓
Production-Ready Systems

Current priorities

  • 🧠 Machine Learning fundamentals
  • 🐍 Advanced Python
  • ⚡ FastAPI & backend engineering
  • ⚛️ React + TypeScript
  • 🐳 Docker
  • 🔄 GitHub Actions & CI/CD
  • 🔐 Security & dependency management
  • ☁️ Deployment & cloud fundamentals

🤝 Open Source & Collaboration

I'm interested in contributing to projects involving:

  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • Scientific Computing
  • Developer Tools
  • Open-source web applications

If a project aligns with these areas, I'm always interested in learning, contributing and collaborating.


📫 Connect With Me


💡 Build → Learn → Ship → Repeat.

Popular repositories Loading

  1. VCell-AI VCell-AIPublic

    Forked from virtualcell/VCell-AI

    An AI-powered platform for discovering, analyzing, and exploring biomodels from the VCell database. Built as part of Google Summer of Code (GSoC25), this project combines modern web technologies wi…

    TypeScript

  2. Asmitha7intech Asmitha7intechPublic

  3. NeuroTrack NeuroTrackPublic

    AI-powered behavioral analysis platform using typing, attention & reading tests

    TypeScript

  4. AshDoc-Studio AshDoc-StudioPublic

    A premium text-to-PDF editor with live preview and professional export

    JavaScript

  5. neetcode-submissions neetcode-submissionsPublic

    My NeetCode.io problem submissions

    Python