Computer Vision • Generative AI • Trustworthy AI
I'm a B.Tech graduate in Artificial Intelligence & Data Science passionate about building intelligent systems that solve real-world problems.
My interests include:
- 🧠 Deep Learning & Computer Vision
- 🔍 AI-Generated Media Detection
- 🤖 Generative AI Applications
- 📊 Data Science & Machine Learning
- 📝 Research and Technical Writing
I enjoy transforming research concepts into practical, deployable AI solutions while emphasizing interpretability, reliability, and ethical AI.
- Research in AI-generated image detection and image forensics
- Building trustworthy and explainable AI systems
- Exploring Computer Vision and Generative AI
- Developing end-to-end AI applications
- Contributing to open-source AI projects
- 🎓 B.Tech Graduate in Artificial Intelligence & Data Science
- 🥈 Second Place – Department-Level main project Competition
- 📄 Research-oriented projects in AI Image Forensics
- 🔍 Developed DeepReveal for pixel-level manipulation localization
- 💻 Built AI-powered web applications for real-time inference
- 🧠 Experience in Deep Learning, Computer Vision, and Data Science
| Project | Description |
|---|---|
| 🔍 DeepReveal | Pixel-level AI image manipulation detection and localization using U-Net segmentation |
| 🛰️ Cross-Seasonal Image Matching | Robust matching of satellite and drone imagery across seasonal variations using SuperPoint feature extraction and geometric verification |
| 🖼️ Deepfake Detection Web Application | MobileNetV3-Large based system for detecting GAN-generated images with a Streamlit interface |
A deep learning-based image forensics framework that detects and localizes AI-generated or manipulated regions within images using semantic segmentation. Unlike traditional real/fake classifiers, DeepReveal highlights exactly where modifications occur, improving transparency and interpretability.
Tech Stack: Python • PyTorch • U-Net • OpenCV • Flask
Applications: Digital Forensics • Media Authentication • Deepfake Localization • Content Verification
A computer vision pipeline for matching satellite and drone imagery across different seasons using SuperPoint feature extraction and geometric verification, enabling robust correspondence despite environmental and viewpoint changes.
Tech Stack: Python • OpenCV • PyTorch • SuperPoint
Applications: Remote Sensing • Geospatial AI • Visual Localization
A deep learning-based image classification system for detecting GAN-generated face images.
Tech Stack: Python • PyTorch • MobileNetV3-Large • Streamlit • OpenCV
Applications: AI-Generated Image Detection • Content Verification • Digital Media Analysis
- 🔍 Trustworthy & Explainable AI
- 📊 High-Quality Data & Preprocessing
- 🔁 Reproducible Machine Learning Experiments
- 📝 Research & Technical Writing
- 🌍 Ethical and Responsible AI Development
⭐ If you find my work useful, consider starring a repository — it helps support my projects and research!