The final year project presents engineering students the opportunity to demonstrate their understanding of what they learn in classroom to real life situations. There are numerous project ideas that may be considered as innovative; with a possibility of designing smart devices and systems, to designing energy solutions and robotics among others.
This project predicts anxiety levels using physiological data from wrist-worn devices. It employs five machine learning algorithms and k-fold cross-validation to refine anxiety assessment and treatment, aiming to enhance mental health evaluation
This project enhances brain tumor diagnosis by using the Swin Transformer V2 and YOLOv5 for improved detection and classification. Combining these models in an ensemble approach improves accuracy, precision, and real-time analysis
This project uses advanced machine learning techniques, including K-means clustering and Particle Swarm Optimization, to improve software quality assurance
This project investigates gender differences in autism spectrum disorder (ASD) related to neonatal jaundice, using data from 1,054 cases. Results show boys with neonatal jaundice are more susceptible to ASD, highlighting the importance of early diagnosis and treatment.
This project analyzes the water quality of major Indian rivers using machine learning algorithms (J48, LMT, Naive Bayes) and WEKA tool, assessing parameters like BOD, temperature, pH, DO, and conductivity to classify water as clean or not.