I'm a passionate Full-Stack Developer in Progress and AI Enthusiast who loves exploring new technologies and building impactful projects. I enjoy hands-on learning, collaborating with developers, and solving real-world problems through code.
- 🔭 I'm currently working on AI + Web Development projects
- 📱 Beginner in iOS App Development (Swift/SwiftUI)
- 👯 I'm looking to collaborate on hackathons and open-source contributions
- 🌱 Currently diving deep into Express,React,Node,Xcode and Generative AI
- 💬 Ask me about Web Development, Java, React, AI tools
- 📫 How to reach me: [email protected]
- ⚡ Fun fact: I code, gym, and repeat 💪
Smart India Hackathon 2025
AgriSure is a farmer-centric digital platform designed to simulate price-risk hedging for oilseed crops, helping farmers understand market volatility and make informed decisions.
- 📊 Virtual price-risk hedging simulation for oilseed crops
- 📈 AI-based price prediction model
- 🧾 Farmer-friendly dashboards with simplified insights
- 🎙️ Multilingual AI voicebot for easy interaction
- 📱 Cross-platform support (Android & iOS)
- Designed complete system flow and feature architecture
- Virtual futures trading simulation module
- Optimized backend to support up to 1,000 concurrent users
- Performance tuned to work within Supabase free-tier constraints
- Frontend: React / React Native
- Backend: Node.js, Express
- Database & Auth: Supabase
- AI/ML: Python (Price Prediction), LLM-based Voice Assistant
- Deployment: Cloud-based
Social Impact Project
AdiBandhu is an AI-enabled Decision Support System (DSS) aimed at improving the implementation of the Forest Rights Act (FRA) and tribal welfare schemes.
- 📋 Structured workflows for welfare scheme monitoring
- 🗂️ Record and document management system
- 🧠 AI-assisted decision support for authorities
- 📊 Data-driven insights for policy execution
- Designed end-to-end digital system architecture
- Implemented structured workflows for:
- Scheme tracking
- Beneficiary records
- Decision-making support
- Improved usability and data organization through real user feedback
- Enhanced transparency in welfare scheme execution
- Reduced manual errors and data redundancy
- Improved accessibility for government officials and stakeholders
- Frontend: React
- Backend: Node.js / Spring Boot
- Database: PostgreSQL / Supabase
- AI Components: ML-based analytics & rule-based decision logic
E-Waste AI is an AI-driven sustainability platform designed to improve electronic waste classification, safe disposal, and recycling through intelligent automation.
- 🔍 AI-powered e-waste classification system using machine learning and LLMs
- 🛡️ Intelligent recommendations for safe disposal and recycling methods
- 📍 Location-based service to connect users with nearby certified recycling centers
- 🌱 Sustainability-focused insights to encourage responsible e-waste handling
- Designed complete end-to-end system flow and feature architecture
- Modular AI pipeline for waste classification and recommendation generation
- Scalable backend architecture to support high concurrent user traffic
- Optimized for mobile-first experience across Android and iOS
- Frontend: React / React Native
- Backend: Node.js, Express
- AI/ML: Python, Machine Learning models, LLM integration
- Database & Auth: Supabase / PostgreSQL
- Maps & Location: Google Maps API
- Deployment: Cloud-based infrastructure
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Promotes environmentally responsible disposal of electronic waste
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Reduces improper e-waste handling and landfill contribution
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Encourages adoption of sustainable recycling practices
Atharva Chaudhari
B.Tech | Full-Stack & AI Developer
Smart India Hackathon 2025 Winner.
- 🚀 Preparing for hackathons & internships
- 📚 Learning Generative AI, Web Dev & DBMS
- 💻 Building innovative projects with React/React Native, Express, Node.js, Swift, and OpenAI APIs to create smart and scalable applications 🚀
- 🏋️ Hitting the gym daily for balance and discipline
"The best way to predict the future is to build it."
Thanks for visiting my profile! Feel free to connect or collaborate 🚀