Fruit-Image-Recognition-with-Open-CV-and-Naive-Bayes

This project is focus on developing a fully functional fruit recognition system that aid in identification of fruit at anytime and anywhere. To achieve this target, the system will make use of OpenCV technique together with some other technologies such as webcam to obtain and process the fruit image. Certain attribute values were extracted from image and stored in Excel file, then analysis was performed with ML model- Naïve Bayes.

Smart-Street-Light-Camera-with-AWS

A smart streetlight is a public lighting fixture that incorporates technology, such as cameras, light-sensing photocells, and other sensors, to introduce real-time monitoring functionalities. In this project, the architecture of smart street light is built upon Amazon Web Services (AWS) with the ability to detect if an accident had occurred and report it to authority in seconds, which provide related departments such as firefighters to act fast.

Web-Scrapping-on-Shopee-Product-and-Analysis-Data-Using-KNIME

This project is aim to perform web scrapping on data of specific product (Ahmad Jasmine Green Tea ( 25 tea bags), collect data and store it in Excel file. Eventually, perform analysis on the data using KNIME.

Bird-Species-Classification-with-MobilenetV2-for-Mobile-Vision-Application

Light-weight model-MobilenetV2 that could be implemented in IDE such as android studio to develop a mobile vision application that classify the bird species to classes with good accuracy.