Deepfake Detection and Attribution
AI-powered system that identifies manipulated videos using CNNs, TensorFlow and OpenCV. Deployed lightweight inference web app (Flask).
A Computer Science student passionate about AI/ML, Cloud Computing, and building clean, scalable software solutions.
The tools and technologies that power my engineering journey
The experiences that strengthened my technical foundation
Innovative projects highlighting my engineering expertise
AI-powered system that identifies manipulated videos using CNNs, TensorFlow and OpenCV. Deployed lightweight inference web app (Flask).
Real-time dashboard fetching Binance API with hybrid anomaly detection (ML + statistical methods). Built with Streamlit and Pandas.
A machine learning–based system that analyzes financial news, social media data, and market indicators to classify sentiment into positive, negative, or neutral using NLP techniques.
Automated attendance system using real-time facial recognition (OpenCV, LBPH), Tkinter frontend and SQLite backend.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions. Feel free to reach out through any of these channels.