Computer Science student specializing in Artificial Intelligence. Passionate about deep learning, computer vision, and building real-world applications.
I'm a Computer Science student specializing in Artificial Intelligence, graduating in 2026. My journey in AI and machine learning began with a fascination for how machines can learn and make decisions.
I love building real-world AI projects and coding tools that solve practical problems. My passion lies particularly in deep learning and computer vision, where I enjoy exploring how machines can interpret and understand visual data.
When I'm not coding, you can find me reading about the latest advancements in AI, contributing to open-source projects, or mentoring fellow students in their tech journey.
Final Year Project - A Flutter app that audits calls using AI to analyze content, tone, and clarity.
An interactive chatbot built with LLMs and LangChain. Users can upload a YouTube video link and chat with the system to ask questions and receive context-aware answers about the video content.
Multi-class classification of emails into Ham, Spam, and Phishing using XGBoost, SMOTE, and TF-IDF vectorization.
Real-time smoke detection using a trained deep learning model (.h5) with computer vision techniques.
Regression-based ML model for predicting property prices with 92% accuracy using Scikit-learn.
Built using TCP/IP and Windows Forms in C# with end-to-end encryption and group chat functionality.
Feel free to reach out if you're looking for a collaborator, have a question, or just want to connect.