I am an Information Science & Engineering student and Full-Stack MERN Developer..
| Category | Skills & Tools |
|---|---|
| Languages |       |
| Frontend & UI |     |
| Backend & DB |       |
| AI, Vision & Audio |       |
| Data Science |      |
| DevOps & Utilities |        |
An intelligent classroom attendance and engagement automation platform designed to eliminate manual roll calls and stop proxy attendance using computer vision and audio analysis.
- Dual-Verification AI Pipeline: Deep facial recognition matches student profiles across classroom snapshots in seconds, paired with an audio-recognition fallback for voice roll-call verification.
- Passwordless Face Login: Real-time facial identification for instant student authentication directly through a single camera snapshot.
- Dual Role Architecture: Distinct portals for teachers (class QR codes, subject generation, CSV logs, issue replies) and students (subject cards, private notes, dispute reporting).
- Gamification & Student Life: Features interactive engagement modules like "Your Semester, Roasted" (AI-generated attendance commentary) and "Start Beef" (peer-to-peer streak tracking).
- UI/UX Polish: Fast, lightweight Streamlit frontend styled with a modern, responsive design and custom avatar personalization.
🔗 Project Code Links:
- Repository: View Code 💻
A privacy-first clinical platform designed to bridge the gap between high-utility medical research and strict data confidentiality. By generating statistically accurate "Clinical Twins," this project enables secure AI training without exposing real patient information.
- Generative Architecture: Utilizes advanced models like CTGAN and TVAE to preserve the complex statistical correlations of clinical data.
- Privacy-First Pipeline: Automated, HIPAA-compliant PII scrubbing engine that identifies and removes sensitive patient identifiers.
- Security & Validation: Integrated differential privacy and "Clinical Turing Tests" to stress-test synthetic datasets against re-identification risks.
- UI/UX Engineering: Modern, minimalist interface built with Streamlit, featuring custom dark-mode glassmorphism and real-time feedback consoles.
🔗 Project Code Links:
- Repository: View Code 💻
A comprehensive stock trading simulation platform. This project demonstrates my ability to handle complex state management, secure authentication, and multi-service deployment.
- Architecture: Decoupled into 3 specialized repositories (Backend, Landing Page, and Trading Dashboard) to ensure modularity and independent scaling.
- Authentication: Custom JWT-based logic with secure credential handling.
- Data Management: Real-time CRUD operations for portfolio holdings and funds using Mongoose.
- Landing Page (Marketing & Entry): View Code 🌐
- Trading Console (Dashboard & Logic): View Code 📊
- Backend API (Server & Database): View Code ⚙️
A modern AI companion that provides real-time intelligent responses. This project highlights my skills in Generative AI integration and User-Specific Persistence.
- AI Integration: Seamless connection with OpenAI API for contextual, high-quality chat interactions.
- Auth Overlay: Custom-built signup gateway with a modern Glass-morphism Blur effect.
- Thread Management: User-specific history storage in MongoDB, allowing private and persistent chat threads.
- UI/UX: Premium dark-themed interface with mobile-responsive sidebar and real-time loading states.
🔗 Project Code Links:
- Frontend Repository: View Code 🌐
- Backend Repository: View Code ⚙️
- 🎓 Education: Pursuing Information Science & Engineering
- 📍 Location: Karnataka, India
- ⚡ Fun Fact: I'm a big fan of psychological thrillers and sports