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MedNexus

Year

2024

Tech & Technique

Python, Streamlit, Google Gemini, Scikit-learn, Pandas

Description

Advanced Disease Diagnosis with ML and AI.

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.

ANS_KHAN

uchihabyte.git@gmail.com