Kodi Roshan roshankodi

Hi, I'm Kodi Roshan

CSE Student • Full-Stack Developer • AI Enthusiast • Real-Time Systems

About Me

I’m a CSE student and developer passionate about building practical software with clean interfaces and meaningful user experiences.

My interests include full-stack development, AI-powered applications, real-time systems, and modern web technologies.

🚀 Building and improving full-stack applications
🤖 Exploring AI-powered products and intelligent systems
🧩 Working on projects that solve practical problems
📚 Continuously learning new technologies and improving my development skills

🧩 roshan.config.json

{
  "name": "Kodi Roshan",
  "role": "CSE Student | Full-Stack Developer | AI Enthusiast",
  "focus": [
    "AI-powered applications",
    "Real-time web applications",
    "Machine learning projects",
    "Modern web experiences"
  ],
  "currently_working_on": [
    "Better UI/UX",
    "Real-world applications",
    "Accessibility improvements",
    "SEO and performance"
  ],
  "tech_mindset": "Building, Learning, and Growing Every Day."
}

🚀 Featured Projects

📚 StudySync

AI-powered learning platform with document analysis, RAG-based Q&A, intelligent tutoring, and automated quiz generation.

Tech: Next.js • TypeScript • Prisma • PostgreSQL • Redis • Supabase • Qdrant

🧠 DocFin AI

Multimodal document intelligence platform for PDF Q&A, classification, and risk analysis with grounded AI responses.

Tech: Next.js • TypeScript • Gemini • RAG • Qdrant • Supabase

🔗 Relay

Collaborative media review platform with timestamped video comments and image annotations, powered by Google Drive integration.

Tech: Node.js • Supabase • Google Drive API • OAuth • RLS

💬 SyncTalk

Real-time chat application with room-based messaging, persistent chat history, Web-Socket communication, REST APIs, and responsive UI.

Tech: React • Node.js • Express.js • Socket.IO • MongoDB

🧩 SyncSolve

Full-stack puzzle platform featuring Sudoku solving and chess analysis through an interactive web interface.

Tech: Next.js • TypeScript • Tailwind CSS • Spring Boot

📈 Car Price Prediction

Machine learning web application for used-car price prediction using data preprocessing, feature engineering, and a trained regression model.

Tech: Python • Flask • Scikit-Learn

💻 Tech Stack

🎯 Interests

Full-Stack Development • Artificial Intelligence • Machine Learning • Real-Time Applications • UI/UX • Problem Solving • Cloud Technologies

🎵 Hobbies

Building Side Projects • Exploring New Technologies • Listening to Music • Playing Badminton • Playing Guitar • Learning New Tools

📊 GitHub Analytics

🤝 Connect With Me

Portfolio • GitHub • LinkedIn

Building, Learning, and Growing Every Day 🚀

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