- 🎓 Computer Science student passionate about building impactful digital systems
- 🚀 Currently working on: Flow Compiler Project (Python)
- 💡 Exploring: D3.js, Cytoscape.js, and scalable backend architectures
- 🎯 Goal: To create seamless user experiences through innovation and clean code
A production-grade AI-powered multimedia forensics platform for detecting GAN-generated, diffusion-generated, and face-swap deepfakes using a calibrated ensemble of deep learning models and advanced forensic signal analysis.
Tech Stack: Python • PyTorch • Streamlit • FastAPI • OpenCV • InsightFace
Highlights:
- 🤖 Three-model ensemble (XceptionNet + EfficientNet-B4 + Vision Transformer)
- 🎥 Image, Video, Webcam, URL & Batch deepfake analysis
- 🔍 Grad-CAM explainability with forensic signal contribution dashboard
- 🧠 Audio-visual lip-sync detection & face identity consistency tracking
- 📊 FFT, EXIF metadata, compression & social-media recompression forensics
- 🌐 REST API with FastAPI and automated PDF forensic reporting
| Project | Description | Tech |
|---|---|---|
| 🌞 Solar Rooftop Assessment | Evaluates rooftop solar potential with geospatial and radiation data | Python, JS |
| 🧠 ChronOS CPU Scheduling Simulator | Interactive simulator visualizing FCFS, SJF, Priority & Round Robin algorithms | JavaScript, D3.js |
| 🧩 FlowCompiler | Compiler simulation for flow control optimization | Python |
| 🚆 Journey Express Railway System | Railway reservation platform using JSP, Servlets & JDBC | Java (J2EE) |
“Code is like humor. When you have to explain it, it’s bad.” – Cory House
⭐️ Thanks for visiting my profile! Feel free to connect or explore my projects. 🚀