2nd year IT student at IIIT Gwalior | Full Stack Developer | AI Enthusiast
Debugging life one nap at a time βπ€
- π± I'm currently learning Advanced Backend Architecture & DevOps
- π¬ Ask me about Full Stack Development, AI/ML, and System Design
- π« How to reach me: guptadevu321@gmail.com
- β‘ Fun fact: I can debug code faster than I can wake up in the morning!
A high-performance document analysis platform that achieves remarkable accuracy in text processing and semantic analysis.
Key Technical Achievements:
- π― Architected high-performance document processing pipeline using PyMuPDF and Tesseract OCR, implementing custom PDF parsing algorithms that achieve 99.5% text extraction accuracy
- π Developed transformer-based relevance engine employing BERT embeddings with 94.2% precision in semantic section retrieval
- π Built multi-threaded processing system handling 100+ page documents with optimized performance
- π‘ Integrated advanced subsection extraction with multilingual support and graceful fallbacks
Technical Architecture:
- Custom PDF parsing and OCR pipeline
- Transformer-based semantic analysis engine
- Scalable Docker containerization
- Real-time adaptation mechanisms
- Robust error handling system
Tech Stack:
- Core: Python, PyMuPDF (fitz), Tesseract OCR
- ML/AI: Pillow (PIL), NLP, BERT
- Infrastructure: Docker, pylint, NumPy
An innovative microservices-based civic platform revolutionizing urban issue reporting through AI-powered analysis.
Key Technical Achievements:
- ποΈ Engineered modular microservices architecture with Node.js/Express backend APIs and FastAPI Python microservices
- π Implemented MongoDB Atlas with Mongoose ORM for scalable data storage and retrieval
- π€ Developed (94%) AI-powered computer vision pipeline using Python libraries for automated issue detection
- π¨ Built real-time, WebSocket-enabled operations dashboard with interactive mapping
- π Ensured enterprise-grade security with JWT authentication and GDPR/CCPA compliance
Technical Architecture:
- Microservices-based backend design
- Real-time WebSocket communications
- Multi-channel notification system
- Interactive mapping integration
- Comprehensive analytics dashboard
Tech Stack:
- Backend: Node.js, Express, MongoDB, FastAPI
- Frontend: React.js, Bootstrap 5, Leaflet.js
- Communications: WebSocket, Nodemailer (SMTP)
- APIs: Gemini API, Twilio, PWA
A powerful Chrome extension delivering natural, multilingual audio synthesis through real-time AI voice synthesis.
Key Technical Achievements:
- π― Developed Chrome extension for seamless web article transformation into audio
- π Engineered AI/ML pipeline for smart content extraction and instant translation
- π¨ Created customizable TTS playback interface with global reading experience
- π Implemented privacy-first solution with smooth UX and flexible controls
Technical Implementation:
- Smart content extraction system
- Real-time translation pipeline
- Custom audio synthesis integration
- Browser-optimized performance
- Cross-platform compatibility
Tech Stack:
- Core: JavaScript, Chrome Extension APIs
- Frontend: HTML/CSS
- APIs: Murf API (Text-to-Speech)
- UI: Material Design Components
β If you find my projects interesting, don't forget to star them!
"Code is poetry written in logic" β¨