This research project focuses on leveraging data science methods to predict Parkinson’s disease (PD) progression using protein and peptide levels in Ceebrospinal fluid and identify potential biomarkers of PD. . Objective is to gain crucial insights into the underlying
molecular changes driving PD progression, facilitating the
development of targeted therapies and also trying to automate
the monitoring of progress.
This research project focuses on developing a heart
disease prediction application by leveraging metaheuristic algorithms for hyperparameter tuning of Artificial Neural Networks
(ANN). The study compares the performance, time complexity,
and space complexity of three metaheuristic algorithms, namely
Genetic Algorithm, Ant Colony Algorithm, and Particle Swarm
Optimisation Algorithm
ACM Executive Project : This Hand gesture recognition (HGR) is an intuitive method for human-computer interaction (HCI).After investigating a wide variety of input devices and techniques, we came across a skeleton-based HGR which has also been a popular choice due to its robustness to background and light variations. It is carried out by taking key skelton points from image and then passing it through a gesture classifier.
This provides a console based library management system app with neat UI purely written in c++, leveraging various data-structures to store the miniature database to reduce latency in operating the app. There are several features which help admins and students to operate seamelessly in hybrid mode.
This helps users control the audio output (volume) of the device using the hand gestures. By pinching in and out at the camera, volume can be increased and decreased respectively.