Smart Model For Career Guidance Using Hybrid Deep Learning Technique

Career guidance is required mostly for the degree students as they have not clear vision about it. Most students don't know what kind of work they want to do or what degree would be best for them. Considering the user's skills, interests, and preferences, the system will suggest different career paths. The results of this assignment can help students zero in on a subject area that fits their knowledge and interests the best. The Smart Career Guidance System using chatbot, is built using recurrent neural network (RNN) and Long Short Term Memory (LSTM). To proposed Smart Model for Career Guidance Using Hybrid Deep Learning Techniques. Our proposed hybrid deep learning algorithm work on the concepts of RNN and LSTM and Natural language processing (NLP).