Hey, I'm Jit Ghosh

Building things

I'm Jit Ghosh, a Computer Science undergraduate who enjoys turning ideas into practical software.

My journey started with the fundamentals of programming and gradually moved toward full-stack development, AI-powered applications, hackathons, and data-driven systems.

I don't want to just learn technologies — I want to understand how they can be combined to build something useful.

• 🎓 Computer Science Engineering undergraduate
• 💻 Interested in Full-Stack Development
• 🐍 Building with Python
• Exploring AI / ML / Generative AI
• ⚛️ Learning and building with React
• 🧠 Exploring Data Structures & Algorithms
• Passionate about hackathons and rapid prototyping
• Comfortable experimenting with AI-assisted / "vibe coding" workflows
• Currently focused on becoming a stronger production-oriented developer

I enjoy working on projects where multiple technologies come together to solve a real-world problem.

        💡 Idea
          │
          ▼
    🧠 Problem Solving
          │
          ▼
   ⚙️ Software Development
          │
     ┌────┴────┐
     ▼         ▼
   🌐 Web       AI/ML
     │         │
     └────┬────┘
          ▼
      Working Product

My current interests include:

AI-powered applications · Full-stack systems · Intelligent dashboards · Hackathon projects · Automation · Data & ML · Developer Tools

Smart India Hackathon 2026 · Problem Statement 26189

An AI-assisted investigation intelligence platform designed as a synthetic-data demonstration.

What I explored:

• Natural Language Processing
• Named Entity Recognition
• Entity Normalization
• Embedding-based Entity Resolution
• Relationship Extraction
• ML-based Relationship Confidence
• Knowledge Graphs
• NetworkX Graph Analytics
• Cross-case analysis
• Evidence provenance
• Explainable AI
• Grounded AI assistance
• Authentication & RBAC

Architecture concept:

Investigation Data
       ↓
NLP Preprocessing
       ↓
Entity Extraction
       ↓
Entity Resolution
       ↓
Relationship Extraction
       ↓
ML Confidence
       ↓
Knowledge Graph
       ↓
Graph Analytics
       ↓
Grounded AI Assistant
       ↓
Human Verification

🔗 View Project

GDG BPPIMT Hackathon · Code_Cubed · 3rd Place 🥉

An AI-powered application that turns leftover ingredients into recipe ideas, helping reduce food waste.

Built with:

React · TypeScript · Vite · Google Gemini API · Supabase · Netlify

The project combines a modern frontend with generative AI to create practical recipe suggestions from available ingredients.

🔗 View Project

A multilingual health companion concept bringing several healthcare-oriented services together in one platform.

Features explored:

• 🤖 AI health chatbot
• 🌐 Multilingual support
• 👨‍⚕️ Doctor consultations
• 💊 Medicine ordering
• 📅 Health checkups
• 📊 Personal health dashboard

Tech:

React · TypeScript · Vite · Tailwind CSS · shadcn/ui · React Router · TanStack Query

🔗 View Project

An AI-assisted travel planning application designed to keep trip information organized in one place.

Features:

• 🗓️ Trip timeline
• ✈️ Flight information
• 🚆 Train information
• 📅 Calendar view
• ⚙️ Trip settings
• 🤖 AI-powered features

Tech:

React · TypeScript · Vite · Tailwind CSS · Express · Gemini API

🔗 View Project

Artificial Intelligence
Machine Learning
Generative AI
Natural Language Processing
Entity Resolution
Knowledge Graphs
Graph Analytics
LLM-powered applications

├── Advanced Python
├── Data Structures & Algorithms
├── Machine Learning
├── Data Science
├── Backend Development
├── System Design Fundamentals
├── APIs & Database Design
├── AI/LLM Applications
└── Production-ready Software Engineering

Built PantryChef with team Code_Cubed and secured 3rd place.

The project combined React, TypeScript, Gemini AI and Supabase to build an AI-powered leftover-recipe generator.

Working on PS26189 — AI-Powered Criminal Network Analysis System, exploring how NLP, machine learning, knowledge graphs and grounded AI can work together in an investigation-analysis workflow.

Programming Fundamentals
        ↓
   Web Development
        ↓
  Full-Stack Projects
        ↓
 AI-powered Applications
        ↓
     Hackathons
        ↓
 AI + ML + Data
        ↓
Production-oriented Engineering
        ↓
        🚀

I'm still learning, experimenting, breaking things, fixing them, and building again.

That's the fun part.

• Become stronger in DSA
• Build production-quality full-stack applications
• Deepen my Python & backend skills
• Learn ML fundamentals properly
• Build more AI-powered products
• Improve system design knowledge
• Contribute to open source
• Build a stronger developer portfolio
• Become internship-ready

⭐ If you find something interesting in my repositories, feel free to explore!