Data Science

The traditional process of identifying B-cell epitopes is both time-consuming and costly, which hinders progress in immunological research and vaccine development. Our B-cell Epitopes Prediction Model addresses this challenge by leveraging data mining techniques and machine learning algorithms to predict linear B-cell epitopes from protein sequences.
This innovative tool rapidly analyzes protein data, providing accurate predictions that streamline the discovery process. By significantly reducing the need for extensive experimental validation, our model accelerates research, lowers costs, and expedites the development of vaccines and therapeutic antibodies.

In an era where misinformation spreads rapidly, our News Verification System provides a reliable solution to combat fake news. Users can upload news articles in various formats such as text, PDF, or Word documents, and the system verifies the authenticity of the content.
By employing advanced algorithms, the system analyzes the text and determines its credibility, helping users discern real news from fake. This tool promotes the dissemination of reliable information, fosters public trust in media, and mitigates the harmful effects of misinformation.

Handling customer inquiries efficiently is crucial for businesses, and our TensorFlow Chatbot is designed to meet this need. The chatbot uses TensorFlow's natural language processing capabilities to understand and respond to user queries in a conversational manner.
This intelligent chatbot interacts seamlessly with users, providing timely and accurate information. It enhances customer service by reducing response times and improving user engagement, ultimately leading to higher customer satisfaction.