#Project Details:- The primary objective of this project is to develop a real-time chat application using Node.js and Socket.IO that offers low-latency communication, supports multiple users, and provides a user-friendly interface.

#Project Details:- This project enables users to upload files and ask questions, with answers generated based on the content. By leveraging LLM vectors and Streamlit, the system processes natural language queries to deliver accurate, context-aware responses in real-time.

#Project Details:- Email spam detection using machine learning involves the use of algorithms and models to automatically identify and filter out unwanted or malicious emails, commonly known as spam. This process aims to enhance the efficiency of email communication by reducing the clutter in users' inboxes and protecting them from potential security threats.

#Project Details:- Secure Internet banking system using Java, JSP, Apache Server Pages, and MySQL database. Features include user authentication, money transfer, payee management, and transaction history

#Project Details:- The objective is to identify subsets of proteins that are discriminant between different classes of mice. The dataset includes protein expression levels in the cerebral cortex of both control and Down syndrome mice subjected to context fear conditioning. The aim is to classify the mice into eight distinct classes based on genotype, behaviour, and treatment.

#Project Details:- Developed a resume screening system allowing HR to upload resumes and classify them into roles (Python, Java, Data Science) using Machine Learning and NLTK. Built with Streamlit, the interactive interface enables real-time resume evaluation, improving recruitment efficiency and accuracy