SEHAT leverages machine learning models deployed on kiosk machines, addressing healthcare disparities in remote Indian regions. Offering self-diagnosis for skin, eye, diabetes, and heart conditions, SEHAT integrates with government health databases, ensuring scalability and adaptability for widespread impact.
- Figma File: Click Here
- Firefox: version 4 and up
- Chrome: any version
- Safari: version 5.2 and up
- Internet Explorer/Edge: version 8 and up
- Opera: version 9 and up
- Frontend: HTML5, CSS3, JavaScript, ReactJs, Vite, Tailwind CSS
- Backend: Flask , Python
- IDE: VS Code
- Version Control: Git and GitHub
- Database: Firebase
| S.No. | Link | Purpose |
|---|---|---|
| 1. | Frontend | contains the frontend code |
| 2. | Backend | contains all backend code |
Frontend
- Fork and clone the Repo by typing the following commands in the terminal
$ git clone https://github.com/Vaani-pathariya/SIH2023-SEHAT.git
$ cd frontend
- Open this folder in your favourite IDE.
- Run
npm install. - Run
npm run devfor starting server.
Backend
Note: You must have Python installed
- Fork and clone the Repo by typing the following commands in the terminal
$ git clone https://github.com/Vaani-pathariya/SIH2023-SEHAT.git
$ cd Hackathon-Project-Sehat/Frontend-Backend
$ cd backend
python main.py
Machine Learning
Note: You must have Python installed
- Fork and clone the Repo by typing the following commands in the terminal
$ git clone https://github.com/Vaani-pathariya/SIH2023-SEHAT.git
$ cd Hackathon-Project-Sehat/Frontend-Backend
$ cd backend
All the various machine learning models will be found in this repo itself
Working areas
- Heart disease analysis
- Diabetes detection
- Skin cancer analysis
- Eye cataract detection
- Git and Github: Git and Github for Beginners
- Frontend: Frontend development for Beginners
- Backend: Flask for Beginners
- Datasets: Kaggle
- Machine Learning: Machine Learning for Beginners
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