Team Nischay
An app-based IoT monitoring system designed for indoor farming environments. The system allows users to monitor and manage farming conditions in real time using a mobile application connected to IoT devices.
This project was made for GDG Pune hackathon and this project won the 6th rank among 150 teams from India. This project focuses on real-time monitoring and management of indoor farming conditions through a mobile application. Users can log in, claim IoT devices, and view live sensor data remotely, making the system practical and scalable for controlled farming setups.
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A complete MP4 video demo of the application and system workflow is uploaded on the google drive whose link is given.
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The video demonstrates:
- App login flow
- Device claiming
- Live data monitoring
- Overall system functionality
📌 This allows reviewers to understand the project without installing the app.
- Secure user authentication (email & password)
- Device claiming mechanism (node-based devices)
- Real-time monitoring of indoor farming parameters
- IoT device integration with mobile application
- Cloud-based data handling
- Simple and user-friendly mobile interface
- IoT device (Node-based) collects environmental data
- Data is sent to the backend/cloud service
- Mobile application fetches and displays real-time data
- Users can claim and monitor specific devices via the app
- Android Mobile Application
- IoT (Node-based device)
- Cloud / Backend Services
- Environmental Sensors
- API-based communication
- The Android APK is available via Google Drive
- The application can be installed directly on Android devices for testing
🔐 Demo credentials and device access are available upon request for evaluation purposes.
- Each IoT unit is assigned a unique Node ID
- Users can claim a device after successful login
- Once claimed, real-time data from the device becomes visible in the app
Team Nischay A collaborative team project focused on applying IoT and software engineering concepts to solve real-world agricultural problems.
- Indoor farming & hydroponics
- Controlled environment agriculture
- Smart agriculture demonstrations
- Educational and research-based farming systems
- This project is developed for educational and experimental purposes
- Security best practices are followed by not exposing sensitive credentials publicly
- Integrates IoT + Mobile App + Cloud
- Solves a real-world monitoring problem
- Includes both APK and video demonstration
- Focuses on system design and scalability
For demo access or additional project details, feel free to reach out at baranwaltanmay16@gmail.com