Financial Advisor is an innovative AI-powered application designed to provide personalized investment and savings advice tailored to individual user needs. Leveraging advanced machine learning algorithms, the app analyzes user inputs such as financial goals, risk tolerance, and current investment portfolios to deliver customized recommendations. With a user-friendly interface built on Flask and powered by Python and LLM’s, the app simplifies the complexities of personal finance. Users can easily input their financial data, explore various investment strategies, and receive actionable insights to optimize their savings and investment plans.

In the ever-evolving field of biomedical research, the extraction of crucial information from scientific texts has become increasingly vital. The Biomedical Named Entity Recognition (NER) project focuses on leveraging state-of-the-art models, specifically BERT and BioBERT, to enhance the identification of named entities in biomedical literature. By fine-tuning these powerful models, our goal is to improve the accuracy and efficiency of medical information extraction, facilitating researchers and practitioners in quickly obtaining relevant data.