Abitha Senthil

Designed and developed a fashion chatbot that guides users and integrates NLP to answer queries related to fashion. Created a basic HTML project showcasing electronic gadgets, allowing customers to choose products and add them to a cart.

Developed an ML model for early heart attack risk prediction, categorizing patients and alerting caretakers for high-risk cases. Designed a chatbot to support medium-risk patients with queries, hospital information, and doctor details.

Developed a hybrid deep learning model combining Capsule Networks and Vision Transformers for accurate object recognition. Designed to assist visually impaired individuals by providing real-time, reliable scene understanding.

Designed an algorithm to optimally allocate tasks to processors, reducing load and improving performance by selecting the best among multiple solutions. Focused on enhancing efficiency in multiprocessor systems.

Activities and societies: Early Risk Detection of Heart attack, CapsNetViT: A robust hybrid model with Capsule Network and Vision Transformer architectures for smart assistance to the visually impaired, Multiprocessor Scheduling using Evolutionary Machine learning Algorithm, Fasion Bot, Basic html project that shows all electronic gadgets.

A highly motivated and inquisitive B.Tech student specializing in Artificial Intelligence and Data Analytics. Throughout my academic journey, I have built a strong foundation in programming, machine learning, Web applications and data-driven problem solving.