OUR PROJECTS
LIVE PROJECTS
MEAN stack
A book review web application. This is a full stack application deployed for an academic project. The project focuses on techniques for visualising and encouraging user activity in web applications, the feature sets of compelling web applications and how they are implemented, the design of web applications at the level of user experience, business logic and
database design.
Website visitors display
Research Topic: Enhancing Natural Language Understanding in Chatbots Using Transformer-Based Models
The research focuses on improving the natural language understanding capabilities of chatbots through the use of transformer-based models. The goal is to create chatbots that can engage in more meaningful and contextually relevant conversations with users. The study involves exploring various techniques such as pre-training on large text corpora, fine-tuning on domain-specific data, and incorporating user feedback loops for continuous learning. The researchers aim to enhance both the breadth and depth of conversations, enabling chatbots to handle a wider range of topics and maintain coherent discussions. Evaluation metrics may include human judgment on conversation quality, coherence, and the ability to provide accurate and relevant responses. The ultimate aim is to advance the state-of-the-art in AI-driven conversational agents, making them more useful and effective in real-world applications like customer support, virtual assistants, and information retrieval.