A sustainable agriculture innovation developed during a 24-hour Hardware Hackathon by team PRATIBIMBA at Kathmandu University.

Technologies Used:
• Hardware: Arduino microcontroller, IoT sensors (temperature, humidity, gas, soil-moisture)
• Automation: Irrigation and ventilation control modules
• Software: Data processing & visualization system for real-time monitoring

What the Project Serves:
• 🌱 Automated irrigation system for optimal water use
• 🌬️ Smart ventilation and harmful gas detection to maintain ideal conditions
• 📡 Continuous greenhouse condition monitoring and data logging
• 🦠 Automatic plant disease detection with real-time alerts to farmers

Team Members:
Bigyan Nepali  |  Aashu Chaudhary  |  Manash Baral  |  Shree Ram Neupane

An award-winning electronics hardware project that secured First Runner-Up at the KEC LITE Technical Exhibition (Kantipur Engineering College).

Technologies Used:
• Hardware: Raspberry Pi (microcontroller), temperature & pressure sensors, mirror/display module
• Software: JavaScript (application logic), HTML/CSS (UI)
• Connectivity: Wi-Fi for IoT connectivity and remote updates

What the Project Serves:
• Real-time clock and live weather data (temperature, pressure) with a 7-day forecast
• Integrated to-do list and personalized greetings (e.g., “Good Morning”, “You’re Looking Good”)
• Remote customization of displayed content via a dedicated web application
• Demonstrates how embedded computing and web technologies enhance everyday objects

An embedded hardware project designed to automatically identify and sort objects based on their color. This system was built using an Arduino microcontroller, a TCS3200 color sensor module, and servo motors to physically move items into their respective bins.

Technologies Used:
• Arduino (microcontroller and control logic)
• TCS3200 color sensor module for detecting object colors
• Servo motors for mechanical sorting action
• Supporting components for power and structure

What the Project Serves:
• Automatically detects the color of an object placed on the sensor
• Rotates or actuates servo motors to direct the object into the correct bin based on its color
• Demonstrates the integration of sensors and actuators with Arduino for real-time decision making
• Provides a low-cost, scalable approach to automated color-based sorting useful in small-scale manufacturing, packaging, or educational demonstrations