FarmSense is a full-stack web application designed to simplify livestock management with the power of Generative AI.
It enables users to record, analyze, and visualize livestock data — including animal health, feed, yield, and antimicrobial usage (AMU).
The system combines traditional data management with LLM-powered voice input and AI insights, helping users make informed and responsible farming decisions.
- Email: [email protected]
- Pass: testpass123
-
🧠 AI-Powered Insights:
Uses the Gemini API (LLM) to analyze AMU data, detect improper drug usage, and recommend corrective actions. -
🎙️ Voice-Based Data Entry:
Accepts natural-language voice input and converts it into structured JSON records using LLM processing. -
📊 Interactive Dashboards:
Visualize feed, yield, and AMU data through dynamic, responsive charts and analytics. -
⚙️ Comprehensive Record Management:
Add and manage animals, health reports, feed, yield, and AMU entries with ease. -
🔒 Secure Backend & API Design:
Built with Django REST Framework, ensuring robust authentication, data persistence, and modular API endpoints.
| Layer | Technologies |
|---|---|
| Frontend | HTML, CSS, JavaScript |
| Backend | Django REST Framework, PostgreSQL |
| AI Integration | Gemini API (LLM) |
| Data Visualization | Chart.js |
| Others | Celery, Redis (for async tasks), JWT Authentication |
- Animal Management: Add and track animals and their health history.
- Feed Management: Log feed types, quantity, and consumption trends.
- Yield Tracking: Record milk or other yield data and view production trends.
- AMU Monitoring: Track antimicrobial usage and get AI-generated feedback for responsible medication practices.
- Voice Command Input: Speak naturally to add records — no manual data entry needed!
FarmSense follows a modular architecture:
- Frontend communicates with Django REST API via secured endpoints.
- Voice Transcription Module captures audio input, transcribes it, and sends it to the Gemini LLM.
- AI Engine returns structured JSON, which the backend saves into the database.
- Insights Engine generates visual and textual analytics (charts + AI insights).
🌐 Future Improvements
Integration with IoT devices for real-time feed and health tracking Adding RAG-based insights for contextual AMU recommendations Voice-based querying (“Show yield for Daisy last month”)
👨💻 Author Piyush Chaudhary 📧 [email protected]