My Projects
A showcase of my work in machine learning, data science, and web development.
MediBot: AI-Powered Medical Assistant with RAG
An intelligent medical chatbot using Retrieval-Augmented Generation (RAG) technology to provide accurate medical information from trusted references. Integrates knowledge from medical textbooks with proper citations and source references. Features semantic search using vector embeddings, context-aware responses, and an intuitive chat interface.
Telco Customer Churn Prediction
A machine learning solution to predict customer churn for telecommunications companies. Features a user-friendly Streamlit interface for real-time predictions, visual results with graphical representation of outcomes, and feature importance visualization. The Random Forest model achieves ~80% accuracy in identifying customers likely to discontinue services.
Breast Cancer Prediction Web App: Logistic Regression
Developed and deployed a Streamlit web application for predicting breast cancer malignancy (benign/malignant) using a Logistic Regression model. This tool aids in the assessment of breast masses based on cytological characteristics obtained from fine-needle aspirates or other tissue samples. The model leverages key diagnostic features including cell nucleus measurements to calculate the probability of a breast mass being malignant.
Griffith Medical Center - Billing System
Developed a billing system for Griffith Medical Center, streamlining patient billing processes and reducing administrative overhead by 15%. The system features an intuitive dashboard for real-time data analysis, enabling staff to quickly identify billing trends and improve revenue cycle management. Role-based access control ensures data security and compliance.
Customer Segmentation Tool
An automated tool for customer segmentation using clustering algorithms.