ABDU NAFIH

Automated Detection of Rotten Fruits Using Computer Vision

Jun 2023 - Oct 2023  

Developed an automated system for detecting rotten fruits using computer vision techniques and machine learning. The project utilized Convolutional Neural Networks (CNN) to classify fruits as fresh or rotten based on color, texture, and shape. A Raspberry Pi-based setup with a camera module was used for real-time image capture and analysis. The system aimed to improve quality control in the food industry, reduce food waste, and enhance food safety by providing an efficient and automated solution for fruit sorting and grading.

Automatic Smart Fish Tank Cleaner Using IoT

Oct 2023 - Apr 2024

Developed an innovative Automatic Smart Fish Tank Cleaner designed to automate the cleaning process of fish tanks. Equipped with mechanical components for efficient sludge cleaning and sensors to monitor critical water parameters including temperature, pH level, Total Dissolved Solids (TDS), and turbidity. Includes a mobile application that keeps track of the cleaning process and also shows realtime Sensor data.

Automatic Smart Fish Tank Cleaner Using IoT was shortlisted for Centre for Engineering Research and Development (CERD) funding of Kerala Technological University (KTU) and have successfully secured the funding.
Currently in the process of obtaining a patent.