Arogyam is a health assistant web app designed to provide AI-driven health predictions and insights. Deployed on Azure, Arogyam helps users assess the risk of common health conditions like diabetes and heart disease, and also offers nutritional analysis from food images.
- Disease Prediction: Leverages advanced machine learning models to predict common health issues.
- Health Chatbot (DocTalk): Instantly answers health-related questions.
- Nutritional Analysis: Upload food images to receive detailed nutritional information.
Follow these instructions to set up Arogyam locally.
- Python 3.x
- Flask
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Clone the repository:
git clone https://github.com/Gouravlohar/Arogyam.git cd arogyam -
Install the required packages:
pip install -r requirements.txt
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Set up environment variables:
- Create a
.envfile in the root directory of the project. - Add the necessary environment variables, such as API key.
- Create a
-
Run the Flask development server
-
Access the app at
http://127.0.0.1:5000/in your web browser.
Arogyam offers several health-related features:
- Disease Prediction: Navigate to the "Disease Prediction" section, select the condition you want to check for, and input the required details.
- DocTalk: Use the chatbot to ask health-related questions. The chatbot is limited to 15 queries per minute.
- Nutrify: Upload an image of your meal, and the app will provide a nutritional breakdown.
This project is licensed under the Creative Common License.
Gourav Lohar - gouravlohar640@gmail.com
This project was developed as part of my learning journey in AI and Machine Learning. 🌱