A data-driven analytical platform empowering fishermen and marine authorities with intelligent insights for sustainable and profitable fishing operations
Matsya is an AI-powered ocean analytics platform that uses Machine Learning, Computer Vision, and Business Analytics to revolutionize India's fishing industry by providing:
- 🔍 Automated fish species identification
- 💰 Market price prediction based on fish size
- 📍 Optimal fishing zone recommendations
- 📊 Data-driven insights for sustainable fishing
India's fishing industry faces critical challenges:
- ❌ Unpredictable fish availability
- ❌ Inaccurate price estimation
- ❌ Limited access to profitable fishing zone data
- ❌ Lack of automated fish identification systems
Matsya addresses these challenges through intelligent data mining and predictive analytics.
- CNN-based classification model for accurate fish species identification
- Real-time image processing from fishermen's captures
- YOLOv8 object detection for fish size estimation
- Price prediction using 10+ years of Indian fish market data
- Regression analytics for market price forecasting
- Seasonal fish availability trends
- Price fluctuation patterns
- Optimal fishing zone identification
- Region-wise profitability analysis
- 🔍 Precision Fish Search: Real-time targeting engine that allows fishermen to search for specific species (e.g., Pomfret, Mackerel) and recalibrate the maritime heatmap instantly.
- 📡 Offshore Navigation Engine: A fully localized navigation system that provides turn-by-turn guidance, live ETA, and distance tracking using hardware GPS—functional even without internet deep at sea.
- 🧭 Smart Compass & Steering: Integrated Magnetometer sensor logic that offers a live rotating steering guide, showing the exact bearing and direction to the chosen fishing zone.
- 🔥 Dynamic Heatmap & Zone Ranking: Automatically identifies and ranks fishing zones based on catch probability, travel distance, and fuel efficiency.
- ⛽ Fuel & Cost Estimator: Real-time calculation of fuel requirements and trip costs (INR) for each zone to ensure profitable fishing expeditions.
graph TD
A[Fishermen Upload Image] --> B[Fish Classification Module]
B --> C[YOLOv8 Detection]
C --> D[Size Estimation]
D --> E[Price Prediction]
E --> F[Analytics Dashboard]
F --> G[Actionable Insights]
| Category | Technologies |
|---|---|
| Programming | Python,JavaScript, React Native Expo |
| ML Framework | TensorFlow, Keras, CNN |
| Object Detection | YOLOv8 |
| Data Analysis | Pandas, NumPy |
| Visualization | Matplotlib, Seaborn, Power BI, Tableau |
| Analytics | Clustering, Regression Analysis |
| Datasets | Government Fisheries Data, Kaggle |
- ML Model Service: https://mlservice-146a.onrender.com/
- Backend API: https://hackcelestial-kdg.onrender.com/
- Analytics Service: https://hackcelestial-kdg-1.onrender.com/
https://hackcelestial-kdg-1.onrender.com/api/catches/summary/68cda34fbedae2fb5e505890
https://hackcelestial-kdg-1.onrender.com/api/catches/weekly/68cda34fbedae2fb5e505890
https://hackcelestial-kdg-1.onrender.com/api/catches/species/68cda34fbedae2fb5e505890
Python 3.8+
TensorFlow 2.x
YOLOv8
Pandas, NumPy| Stakeholder | Benefits |
|---|---|
| Fishermen | Informed decisions on what, where, and when to fish for maximum returns |
| Market Traders | Improved price forecasting and inventory management |
| Marine Authorities | Enhanced understanding of fish population trends and overfishing patterns |
✅ High accuracy in fish species classification
✅ Efficient size detection using YOLOv8
✅ Minimal error in price prediction vs. actual market rates
✅ Region-wise profitability patterns identified
✅ Comprehensive visual dashboards for decision-making
- 🛰️ Real-time satellite data integration
- 📱 Mobile application for on-field usability
- 🌍 Multi-language support for regional fishermen
- ⚡ Real-time weather and ocean condition alerts