Introduction
👋 Hello everyone! We are Team Code-M, led by Manik Gupta. Our team members includes me, Sudeep M Arashingodi & Shreya Acharya.
Pictures
System Architecture
Website Features
Parameter Monitoring
Push Notifications
Project Description
Our project AquaTracker addresses the problem of monitoring and managing aquariums effectively. Many aquarium lovers struggle to maintain optimal conditions for their aquatic life due to the lack of real-time monitoring and early detection of issues.
Problem Statement: Aquarium owners face challenges in monitoring and maintaining water parameters and fish health, leading to unhealthy conditions for aquatic life.
Solution: Aqua Tracker provides a comprehensive solution by combining IoT devices, deep learning models, and user-friendly interfaces to solve the above problem.
Idea: The system continuously monitors parameters such as pH, temperature, dissolved oxygen, and water hardness using IoT devices. A deep learning model analyzes fish images for early detection of health issues. Users can access real-time data and receive alerts through a mobile app and a web interface and they can take prior actions based on the alerts.
Tech Stacks:
- Frontend: React, Tailwind CSS, Chart.js
- Backend: Firebase, Node.js, Express.js
- Deep Learning: Python, Pytorch, ResNet50
- Android App: Java, XML
- Push Protocol: Alerts to user.
Links
- GitHub Repo: Aqua Tracker Repo
- Deployed Project: AquaTracker Web App
- Android App: AquaTracker Andriod App Drive
- Presentation Video: Aqua Tracker Presentation Video
- Devfolio Submission: Aqua Tracker Devfolio
Overall Experience
Participating in the event was an amazing experience for our team. We enjoyed collaborating, learning new technologies, and solving real-world problems.