aes_128

classification-and-detection-of-disaster-tweets

This project aims to identify disaster tweets through machine learning. We have cleaned and preprocessed a suitable dataset, trained various models such as Dense Network, LSTM, and Bi-LSTM, and deployed their solution on a website using Streamlit. The Dense Network model achieved close to 80% accuracy.

hackathon-mumtec

A web app that integrates some of the key features that students are desperate for.

machinelearningii

movie-booking-and-listing-management-application

MOBLIMA is an aplication to computerize the processes of making online booking and purchase of movie tickets, listing of movies and sale reporting. It will be used by the movie-goers and cinema staff. Click the link below for Javadoc :D

object-detection-with-detectron-2

A simple demonstration of object detection using Detectron2. The project uses the Faster R-CNN with ResNet-101 FPN model trained on the COCO dataset for object detection.

project-ases

A hackathon project which aims to build an application which is capable of detecting engagement level of students based on eye aspect ratio (EAR).

sc2006-tripsmart

TripSmart, a trip aggregator platform that facilitates a cost-effective and efficient mode of transportation selection based on individual commuting preferences. Built on top of React Native and Expo.

table-tennis-ball-tracker

This project aims to track the movement of a table tennis ball in a video using OpenCV. The process involves filtering out the ball, generating a foreground mask, and then adding circles to the original frames to visualize the ball's movement.

woonyee28