○ Developed a Driver Personalization System utilizing GNNs for real-time facial scans for the unique identifcation.○ Used the scaned Face to generate a input matrix for the prediction of car settings like mirrors position and seats position etc.○ Implemented an User Interface using Django framework to showcase the system. enhanced the accuracy by continuous refinement of GNNs, resulting in precise driver recognition and personalized adjustments.

○ Engaged in the research and development of Deep Learning techniques for the analysis and generation of InfraRed data.○ Utilized Generative Adversarial Networks (GANs) and U-Net architecture to construct artifcial datasets○ Implemented Python data pipelines for seamless data processing of the FLIR ADAS,KAIST, VEDAI datasets

○ Worked with framework called Skillearn to formalize Learning by passing tests human's skill into machineexecutable learning skills and leverage them to train better machine-learning models.○ Developed an optimization algorithm for the parameters of the network and Applied Federated learning approach for the data security.

Provided Mentorship for High School students that dealswith Arduino, Raspberry PI projects and Coding.