https://github.com/shr-reny/medibuddy
This tool uses the gemini flash model to predict possible disease from an input image. It also provides further steps and treatment if available.
https://github.com/shr-reny/medibuddy
gemini-flash python streamlit
Last synced: 3 months ago
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This tool uses the gemini flash model to predict possible disease from an input image. It also provides further steps and treatment if available.
- Host: GitHub
- URL: https://github.com/shr-reny/medibuddy
- Owner: Shr-reny
- Created: 2024-07-25T06:32:37.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-10T15:10:40.000Z (about 1 year ago)
- Last Synced: 2025-05-30T09:28:10.771Z (4 months ago)
- Topics: gemini-flash, python, streamlit
- Language: Python
- Homepage: https://medibuddy-shruti.streamlit.app/
- Size: 68.4 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# MediBuddy
An AI assistant to help you predict the disease by looking at the affected disease image. It also talks about possible symptoms, suggests further tests and treatments if available. It uses the Gemini-flash model to process image prompts.
## Run Locally
Clone the project
```bash
git clone https://github.com/Shr-reny/MediBuddy.git
```
Go to the project directory
```bash
cd my-project
```
Install dependencies
```bash
pip install -r requirements.txt
```
To run this project, you will need to add the Gemini API key to your .env file `API_KEY`
Start the server
```bash
python -m streamlit run app.py
```
## App Link
https://medibuddy-shruti.streamlit.app/