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Year
2024
Tech & Technique
React, FastAPI, Scikit-learn, Tailwind CSS, Python, JavaScript
Description
A sophisticated healthcare application that leverages machine learning to analyze symptoms and provide preliminary health insights. The platform combines medical expertise with AI technology to offer users intelligent health assessments and recommendations.
Key Features:
Technical Implementation:
Key Features:
- 🔍 Intelligent Symptom Analysis: Advanced ML algorithms process and analyze user-reported symptoms
- 🏥 Medical Database Integration: Access to comprehensive medical knowledge base
- 📋 Health Assessment Reports: Detailed analysis with probability scores and recommendations
- ⚕️ Healthcare Provider Integration: Seamless connection to medical professionals
- 📱 User-Friendly Interface: Intuitive design for easy symptom reporting and result interpretation
Technical Implementation:
- React frontend with modern component architecture
- FastAPI backend for high-performance API services
- Scikit-learn for machine learning model training and prediction
- Tailwind CSS for responsive and accessible design
My Role
Full-Stack Developer & ML Engineer
Developed the complete application stack:
Developed the complete application stack:
- ⚛️ Frontend Development: Built responsive React components with modern UX principles
- 🤖 ML Model Development: Trained and deployed symptom analysis models using Scikit-learn
- 🚀 API Development: Created high-performance FastAPI backend services
- 🎨 UI/UX Design: Implemented accessible and intuitive user interfaces
- 📊 Data Processing: Developed algorithms for symptom pattern recognition
- 🔒 Privacy & Security: Ensured HIPAA-compliant data handling and user privacy