Python backend projects showcasing modern frameworks, database integration, and cloud deployment expertise.
Modern online marketplace for students to buy, sell, and rent items seamlessly. Features real-time interaction through in-app chat, secure phone-based authentication, and a premium dark-themed interface. Built with an API-driven architecture for scalability.
Outcome: Simplified local student transactions with a secure, high-performance real-time marketplace.
Single-store e-commerce platform specializing in authentic Rajasthani traditional products like Ker Sangri, Papad, and Spices. Features robust product management, secure cart functionality, and token-based authentication.
Outcome: Successfully digitized a traditional niche store with a modern e-commerce solution.
Real-time doubt sharing platform where students can post doubts and interact via comments, likes, and private chats. Features leaderboard, anonymous posting, and tagging for gamification and easy search.
Outcome: Enhanced student engagement and peer learning in a structured, real-time system.
Built a blogging platform with Django backend for managing posts and content. Designed a responsive UI with AI-assisted frontend templates. Deployed static assets on AWS S3 for optimized performance.
Outcome: Developed a fully functional blog system with dynamic content management.
Designed backend APIs for creating, editing, and managing notes with timestamps. Integrated MongoDB using Pydantic models and implemented CRUD operations. Deployed app with Uvicorn + Render, ensuring production-ready performance.
Outcome: Delivered a fast notes management system with real-time updates.
Built a to-do list management backend with task filtering and status updates. Integrated SQLite database with SQLAlchemy ORM for smooth operations. Deployed the app on Render for live access.
Outcome: Created a lightweight, responsive task management app with reliable CRUD functionality.
Built a voice-activated virtual assistant with Python backend processing. Integrated OpenAI's GPT API for intelligent responses and implemented speech recognition for seamless user interaction.
Outcome: Intelligent backend system powering voice-driven automation.