A collection of projects spanning software engineering, F1 systems design, and powertrain development.
A predictive F1 race winner app using 70+ years of historical data and advanced machine learning models for 85% prediction accuracy. Processes 1,000+ data points per race, analyzing factors like driver form, car performance, and track familiarity. Deploys on AWS/GCP with 99.9% uptime.
A real-time ASL translator built with Convolutional Neural Networks (CNNs) for gesture recognition and TensorFlow for model training. Processes webcam inputs to detect and translate ASL alphabet signs (A-Z) into text with high accuracy.
An advanced web application utilizing CNNs for facial recognition and spectrogram analysis combined with the Levenshtein distance algorithm for speech pattern detection. Designed to assess sobriety in real-time to prevent drunk driving through ML-powered evaluation.
A lightweight, web-based application offering quick health insights and personalized recommendations based on user-provided metrics like BMI, blood pressure, and cholesterol levels. Features clean, responsive design powered by Material Design principles.
Analytics platform integrating YouTube and Twitter data via APIs to track performance and competitive intelligence. Features interactive dashboards, Google Gemini AI for natural language querying, and automated social listening tools.
AI-driven healthcare tool developed at The New York Academy of Sciences to address biases in medical diagnosis and treatment. Features ethical AI filters, user interfaces for healthcare professionals, and unbiased data processing.
