https://github.com/fuzziecoder/revon
Revon is an AI-powered disease prediction web application designed to help users identify potential diseases based on the symptoms they enter. The app uses machine learning models to analyze user input, predict possible health conditions, and offer personalized suggestions such as diet tips, precautions, and nearby hospitals, click the below link
https://github.com/fuzziecoder/revon
ai disease-prediction github health hospital-management html-css-javascript medical ml reactjs revon tail tailwind-css tips vercel-deployment webapp
Last synced: 3 months ago
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Revon is an AI-powered disease prediction web application designed to help users identify potential diseases based on the symptoms they enter. The app uses machine learning models to analyze user input, predict possible health conditions, and offer personalized suggestions such as diet tips, precautions, and nearby hospitals, click the below link
- Host: GitHub
- URL: https://github.com/fuzziecoder/revon
- Owner: fuzziecoder
- License: apache-2.0
- Created: 2025-04-20T16:05:49.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-05-12T13:35:22.000Z (5 months ago)
- Last Synced: 2025-06-09T13:40:03.975Z (4 months ago)
- Topics: ai, disease-prediction, github, health, hospital-management, html-css-javascript, medical, ml, reactjs, revon, tail, tailwind-css, tips, vercel-deployment, webapp
- Language: TypeScript
- Homepage: https://revon-one.vercel.app
- Size: 408 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Revon: AI-Based Symptom-to-Disease Prediction Web Application
Revon is a cutting-edge AI-based web application designed to help users identify potential diseases based on their symptoms. By leveraging machine learning models and data analysis, Revon offers accurate disease predictions and valuable insights into medical conditions. The app also provides a list of specialists based on the user's symptoms.
## Features
- **Symptom Checker**: Users can input their symptoms, and the app will predict potential diseases.
- **Disease Prediction**: Based on symptoms, the app predicts possible diseases using AI models.
- **Specialist Finder**: After prediction, relevant specialists are displayed along with their contact information and location.
- **User-Friendly Interface**: Easy-to-use web interface with intuitive design.
- **Data Security**: All user input and data are processed securely.
## Tech Stack
- **Frontend**: React.js
- **Backend**: Python (Flask/FastAPI)
- **AI/ML**: Scikit-learn, TensorFlow (for disease prediction model)
- **Database**: MongoDB (for storing user data and disease-related information)
- **API**: RESTful API for interaction between frontend and backend
- **Deployment**: Docker, Heroku/AWS (for cloud deployment)
## Setup & Installation
### Prerequisites
Before you begin, ensure you have the following installed:
- [Node.js](https://nodejs.org/)
- [Python 3.x](https://www.python.org/)
- [MongoDB](https://www.mongodb.com/try/download/community) (if running locally)
- [Docker](https://www.docker.com/get-started) (optional for containerization)
## Usage
1. Open the app in your browser at [http://localhost:3000](http://localhost:3000).
2. Enter symptoms into the provided text box.
3. The app will predict possible diseases based on your input.
4. After prediction, the app will display a list of relevant specialists along with their contact details.
5. Click on a specialist to view more details.
## Contributing
We welcome contributions! If you'd like to contribute, feel free to fork the repository, make changes, and submit a pull request. Here are a few ways you can help:
- Report bugs or issues
- Suggest new features or improvements
- Submit code to fix issues or enhance functionality