PROJECTS

SMART CLASSROOM FOR BETTER PEDAGOGICAL PROCESS AND EFFECTIVE ENERGY UTILISATION (Year : 2023)

 IEEE Conference 2023

EFFECTIVE DETECTION OF DRUG-DRUG AND DRUG-TARGET INTERACTIONS (Year : 2023)

 Abstract : The use of multiple medications can result in unexpected adverse effects due to unique chemical properties of each medicine. Managing drug-drug interactions on a small scale is feasible, but becomes challenging when patients are taking various drugs for multiple pathologies. This is further compounded by the high cost and volume of lab tests needed to reveal potential interactions. Additionally, developing new drugs is expensive and time-consuming. Efficient detection of drugtarget interactions is critical in accelerating the drug discovery process. Computational methods, such as traditional machine learning and deep learning techniques, have been developed to effectively detect drug-drug and drug-target interactions. These methods utilize diverse biological and chemical data sources, such as protein-protein interactions, drug-target binding affinity, and side-effect profiles. This project aims to accurately detect both these interactions using a graph neural network and provide a user interaction system for easy access to drug interaction information. The use of a graph convolutional network and multi layer perceptron to predict drug-drug interactions resulted in the highest accuracy of 97.765% compared to other models. In particular, combining the graph attention layer and graph convolutional layer achieved a better concordance index of 0.891, outperforming previous works.

STUDENT SAFETY MANAGEMENT SYSTEM (USING JAVA MODUES ONLY) (Year : 2022)

 Abstract : Recently, crime against children is increasing at a higher rate and it is high time to offer safety system for the students. Student can directly register a complaint in the police station, but mostly they will hesitate or hang back because of distress. This project intends to provide a platform to register the harassment as a complaint to the police. The system maintains a database for all students. The system allows the students to make complaints and submit evidence, if possible. System assign registered complaints to the nearby police stations with no delay. This project’s intention is to solve the distress of students to make complaints and provide them with a safety system.