An Android app built with Kotlin + Jetpack Compose for real-time marine biodiversity monitoring and threat reporting. It uses on-device AI, geotagging, and a responsive UI to empower users in marine conservation efforts.
Nature Lens enables users to:
- Identify marine species using an AI model
- Automatically tag sightings with location data
- Report threats like poaching or coral bleaching
- Get instant feedback via in-app alerts
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Integrated a custom TensorFlow Lite model trained with a Convolutional Neural Network (CNN)
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Capable of classifying the following 9 marine species:
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0 - Black Sea Sprat 1 - Gilt-Head Bream 2 - Hourse Mackerel 3 - Red Mullet 4 - Red Sea Bream 5 - Sea Bass 6 - Shrimp 7 - Striped Red Mullet 8 - Trout
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On-device classification ensures real-time predictions without internet dependency
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Training Dataset: A Large-Scale Fish Dataset from Kaggle, with thousands of fish images across diverse species
- Captures GPS latitude and longitude during image uploads
- Automatically attaches coordinates to every species report
- Simple form/button to report illegal activities like:
- 🐠 Poaching
- 🪸 Coral Bleaching
- 🌊 Pollution or other marine hazards
- Sends local Android notifications based on the type of reported threat
- Jetpack Compose – Declarative UI toolkit
- Kotlin – Programming language
- TensorFlow Lite – For on-device AI inference
- CNN Architecture – Used to train the fish classification model
- Android Location Services – For GPS data
- Local Notifications – For alert system
/app ├── ui/ # Jetpack Compose UI screens ├── data/ # Local data handling ├── model/ # Data classes ├── utils/ # Location, notification helpers └── MainActivity.kt
This MVP was developed within a 12-hour hackathon sprint.
Focus was on delivering essential features to demonstrate real-world potential.
- 🗺 Interactive biodiversity map with heatmap overlay
- 🧠 Admin dashboard with filters (species, threat type, region)
- 🎖 Gamified user badge system
- 👥 Crowd verification of sightings
- 📊 Data visualizations (e.g., species density by region)
- 🔄 Firebase or Node.js backend for data sync and management
Want to help expand the project post-hackathon?
Open issues or contribute via pull requests to support marine conservation tech.
- A Large-Scale Fish Dataset
- Open-source contributors and marine conservation researchers
- Hackathon organizers for the opportunity and platform( Google Developer Group @ JIIT128)
