Conversational AI for Career Counseling

College students' life plans are heavily influenced by their career choices. Choosing the appropriate career is the most difficult decision in today’s society. Many kids today are unsure about their future. They do have certain talents, but they are unable to identify them or place them in the appropriate domain. Different individuals advisevarious career alternatives, but the student must ultimately choose their job. For giving a focus to this we have built an innovative method for student career advising that combines ML for job prediction and RASA(NLU) framework for a chatbot. The work is about a website that gives you the whole information that is needed for the knowledge of every student. Concurrently, a sophisticated RASA(NLU) chatbot is being developed to engage students in meaningful and tailored interactions. To provide viable job possibilities, the ML-based career prediction model examines numerous aspects such as talents, educational background, and hobbies. The chatbot, on the other hand, uses natural language understanding and generation techniques to deliver personalized advice, answer questions, and lead students toward proper educational and career options. This dual strategy guarantees a thorough and productive career counseling experience, allowing students to make educated decisions regarding their future. Comparison of three different Machine learning algorithms i.e. KNN, Random Forest, and Decision Tree was performed and KNN outperformed the other two. The accuracy obtained by this is 97% by use of the KNN model for job prediction. The integration of ML and NLU technologies contributes to a dynamic and personalized counseling environment, ultimately assisting students in achieving their professional aspirations.