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ankitkumar572005/README.md

πŸ‘¨β€πŸ’» WHOAMI

const developer = {
  name: "ANKIT KUMAR",
  role: "CS AI/ML Undergraduate | Full-Stack Engineer",
  focus: ["Real-time AI Vision", "Scalable Web Architectures", "RAG Systems"],
  portfolio: "https://portfolio-plum-nine-v2kb4jyv8c.vercel.app/",
  motto: "Engineering solutions that bridge AI and Reality.",
  location: "India"
};

πŸš€ STATUS

  • 🧠 Currently deep-diving into Advanced Computer Vision and System Design.
  • πŸ› οΈ Building SmartFinance, a full-stack expense analyzer.
  • πŸ’¬ Ask me about YOLOv8, React, or Node.js.
  • πŸ“« Reach me at: LinkedIn | Instagram

πŸ† FEATURED PROJECTS

πŸ‘οΈ AI Crowd Density Analyzer

Real-time Computer Vision System for Public Safety

  • Engineered a high-speed detection pipeline using YOLOv8 achieving >20 FPS.
  • Implemented Non-Maximum Suppression (NMS) to eliminate redundant detections.
  • Deployed a specialized Streamlit dashboard for instant crowd metrics.
  • πŸ“‚ Source Code | 🌐 Live Demo

πŸ’³ SmartFinance Dashboard

Full-Stack Personal Finance & Analytics Engine

  • Architected a RESTful API using Node.js & Express with full CRUD capabilities.
  • Integrated a relational SQLite database with parameterized queries for security.
  • Developed an Offline-First React interface that persists data in LocalStorage.
  • πŸ“‚ Source Code | 🌐 Live Demo

πŸ” AI RAG Navigator

Enterprise-grade Intelligent Document Interaction

  • Built a RAG pipeline using LangChain and Google Gemini 1.5 Pro.
  • Optimized context retrieval using vector embeddings for high-accuracy chat.
  • πŸ“‚ Source Code

πŸ”₯ OPEN SOURCE CONTRIBUTIONS

Repository Status Impact
npm/node-semver βœ… Merged Contributed core documentation fixes
AyushAnand-28/ChurnSight βœ… Merged Implemented AI feature engineering logic
facebook/react-native ⏳ In Review Improving mobile framework documentation
vuejs/vue ⏳ In Review Enhancing Vue 2 core documentation

πŸ› οΈ TECHNICAL ARSENAL

Category Technologies
Languages Python, JavaScript (ES6+), TypeScript, SQL
AI / ML YOLOv8, Computer Vision, OpenCV, LangChain, RAG
Frontend React, Vite, Streamlit, HTML5, CSS3
Backend Node.js, Express.js, REST APIs
Databases SQLite, ChromaDB, MySQL
Tools Git, GitHub CLI, Vercel, npm

πŸ“Š GITHUB ANALYTICS


πŸ† CORE ACHIEVEMENTS

  • πŸŽ“ 2nd Year CS AI/ML Student with a focus on production-grade engineering.
  • πŸš€ Successfully deployed 3+ AI-powered applications during my 2nd year.
  • πŸ—οΈ Mastered the full lifecycle of development: Research -> Architecture -> Deployment.

"Building the future, one commit at a time."

Pinned Loading

  1. ai-gesture-os-control ai-gesture-os-control Public

    Real-time hand gesture recognition to control your OS using MediaPipe Tasks API. Optimized for Apple M3.

    Python

  2. ai-rag-navigator ai-rag-navigator Public

    Enterprise-grade RAG app that turns study materials into AI conversations using LangChain, Gemini 1.5 Flash.

    Python

  3. plant-health-vision plant-health-vision Public

    AI-powered plant disease detection using Deep Learning (MobileNetV2). Identifies crop health issues from images.

    Python

  4. Smart-Traffic-System Smart-Traffic-System Public

    Python