🩺 DOCKTAR

A Django REST Framework (DRF) based API that helps users analyze symptoms and get medical advice powered by Google Gemini (Generative AI).
The chatbot supports multilingual advice with translation into local languages such as Yoruba, Igbo, Hausa, etc.

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🚀 Features

• Analyze medical symptoms and provide AI-generated advice.
• Supports multilingual translations of advice.
• RESTful API endpoints for easy integration.
• Interactive Swagger / ReDoc API docs.
• Dockerized for consistent deployment.
• Configurable via .env file (API keys, database, etc.).

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🛠️ Tech Stack / Tools

• Backend Framework: Django, Django REST Framework (DRF)

• AI Model: Google Gemini (google-genai SDK)

• API Docs: drf-spectacular (Swagger UI, ReDoc)

• Containerization: Docker, Docker Compose

• Database: PostgreSQL (or SQLite for local dev)

• Environment Management: django-environ

• Language Support: English + Local languages (via translation API)

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📂 Project Structure

Docktar/
├── chatbot/
│   ├── utils/
│   │   ├── nlp.py              # Handles AI integration (Gemini + translation)
│   │   ├── gemini_client.py    # Gemini API client
│   ├── serializers.py          # Input validation
│   ├── views.py                # Symptom analysis endpoints
│   ├── urls.py                 # Route definitions
│
├── core/
│   ├── settings.py             # Django settings
│   ├── .env                    # Environment variables
│
├── docker-compose.yml
├── Dockerfile
├── requirements.txt
├── README.md