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Year
2024
Tech & Technique
Python, Streamlit, Google Gemini, Scikit-learn, Pandas
Description
Advanced Disease Diagnosis with ML and AI.
Key Features:
Technical Highlights:
Key Features:
- 🤖 AI-Powered Diagnosis: Google's Generative AI (Gemini) for personalized health insights.
- 🩺 Multi-Disease Prediction: Heart, Kidney, Diabetes, Liver, and Stroke prediction models.
- 🎯 Automated Training: Unified pipeline for data preprocessing, feature engineering, and model versioning.
- 💻 Modern UI: Dark-themed, responsive Streamlit interface with real-time predictions.
Technical Highlights:
- Built with Python, Streamlit, Scikit-learn, Pandas, and Google Gemini.
- Implemented an automated training pipeline with joblib serialization and versioning.
- Integrated Google's Generative AI for analyzing medical reports and providing recommendations.
My Role
Machine Learning Engineer / Web Developer
- Developed the end-to-end ML pipeline and Streamlit application.
- Integrated Google Gemini for generative AI capabilities.