Architectured a Retrieval-Augmented Generation (RAG)-based AI assistant tailored for a Hospital. It provides accurate, context-aware answers to patient queries by combining the hospital's medical knowledge base with a large language model (LLM). Ideal for answering FAQs, drug information, and hospital-specific guidelines.

Developed API endpoints to manage tasks, including creating, reading, updating, and deleting tasks. It also supports user authentication and authorization with different user roles (such as 'admin') to control access to certain endpoints.

Developing Recalla, an AI-powered flashcard application that leverages spaced repetition to boost memory retention. This tool aids users in effectively reviewing and recalling information, making the learning process more efficient and enduring.

Developed a machine learning project to predict customer engagement using gradient boosting and ensemble techniques. Analyzes customer data to deliver actionable insights for improved retention strategies, with exploratory analysis in Jupyter notebooks.

Developed an innovative program that processes input byte streams and visually represents them in a raster-like display within a terminal window, enhancing data visualization capabilities.

Collaboratively developed Planzo, a robust django web application that revolutionizes event planning and organization. It empowers users to seamlessly create, manage, and track events with ease and efficiency.