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GeezerVison is showing github.com — GitHub - epythonlab2/TenaBot: TenaBot is a smart AI assistant that helps patients understand and follow medication instructions. It focuses on the Ethiopian context, translating drug information into local languages and providing guidance in a simple, user-friendly format.

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TenaBot: AI-Powered Personalized Medication Advisor

Overview

TenaBot is a smart AI assistant that helps patients understand and follow medication instructions. It focuses on the Ethiopian context, translating drug information into local languages and providing guidance in a simple, user-friendly format.

Key Features

  • Generates easy-to-understand medication instructions.
  • Supports multiple Ethiopian languages.
  • Offers dosage guidance, warnings, and side-effect info.
  • Conversational chatbot interface for patient queries.
  • Optional voice guidance with text-to-speech.

Installation Instructions

  1. Clone the repository:
git clone https://github.com/epythonlab2/TenaBot.git
cd TenaBot
  1. Set up a virtual environment (recommended):
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt

Data Pipeline

Raw Extraction

Structured Dataset

Usage

Start API Backend

cd src/api
uvicorn app:app --reload

Access endpoints at http://127.0.0.1:8000.

Run Frontend (Optional)

If using Streamlit:

cd app
streamlit run app.py

Contributing

  1. Fork the repository.
  2. Create a branch: git checkout -b feature/YourFeature
  3. Commit changes: `git commit -m 'Add feature'
  4. Push branch: git push origin feature/YourFeature
  5. Open a pull request.

License

MIT License

Contact

Email: [email protected]

About

TenaBot is a smart AI assistant that helps patients understand and follow medication instructions. It focuses on the Ethiopian context, translating drug information into local languages and providing guidance in a simple, user-friendly format.

Topics

artificial-intelligencehealthcare-ai-assistantllmmachine-learningragvector-databasevector-embeddingsvector-search

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