Featured Projects 🚀
A showcase of AI and machine learning projects spanning healthcare, NLP, fintech, and production systems. Each project demonstrates practical applications of cutting-edge technologies to solve real-world problems.
Mind Care - AI-Powered Alzheimer's Support System
A comprehensive multi-platform system combining AI, VR, and Mobile Health to support Alzheimer's patients and caregivers. Features an AI-powered Avatar for cognitive assessment using NLP and Speech Recognition with 94% accuracy. Includes VR-based cognitive training with adaptive difficulty and a Flutter mobile app with real-time location tracking integrated with Firebase and Google Maps API.
⭐Highlights
- •🏆 1st Place - Faculty of Computer Science & AI Graduation Project
- •🎯 94% accuracy in MMSE response interpretation
Sentiment Analysis on TechCrunch News Articles
Advanced NLP project analyzing sentiment in 1,000+ technology news articles from TechCrunch. Implemented web scraping with BeautifulSoup and NewsAPI, applied comprehensive text preprocessing with NLTK, and performed feature extraction using TF-IDF. Utilized KMeans clustering with PCA dimensionality reduction for thematic grouping and developed a high-accuracy sentiment classification model.
⭐Highlights
- •🎯 96% model accuracy in sentiment classification
- •📊 Analyzed 1,000+ articles from TechCrunch
RAG-Based AI Agents
Production-ready AI agent system leveraging Large Language Models with Retrieval Augmented Generation to ground outputs in factual data. Implemented function calling and tool-use protocols for real-time programmatic actions and external data integration. Designed scalable infrastructure supporting multiple AI agents in production environments with reduced hallucination rates.
⭐Highlights
- •🤖 Sophisticated AI agents with RAG implementation
- •⚡ Real-time function calling and tool use
Predictive Models for Fintech & Insurance
Machine learning models for insurance and fintech solutions during internship at ZA Tech. Designed and evaluated predictive models using supervised and unsupervised learning techniques. Preprocessed real-world datasets and fine-tuned model performance using cross-validation and hyperparameter optimization. Deployed models in scalable cloud environments.
⭐Highlights
- •💼 Production ML models for fintech domain
- •🔄 Cross-validation and optimization