project development

The central goal of our project is to develop a deep learning model that can process user queries and generate immigration recommendations in natural language. By leveraging a sequence-to-sequence NLP model, such as LSTM, Transformer, or Large Language Model (LLM), we aim to create a user-centric and highly informative advisory system. The web-based application consists of two key components: a chatbot and an online counselor (robot). The chatbot allows users to enter their queries in text format, initiating the advisory process. The online counselor, in response to user queries, will engage with users in speech format, providing a more conversational and interactive experience.