Project Title : AI therapist
Introduction: Input is user provided description about how his day went in two-three lines. Using natural language processing, our program detects how user is feeling. He may be feeling depressed, feared, angry etc. Then a recommender system is used to show him content based on his current emotions. For example if user is feeling depressed, program will show him motivational thoughts, blogs etc.
Conceptual framework:
The project will be a combination of natural language processing and recommender system. The pipeline model built through NLP will put user input in any one of the classes ‘A’, ’B’, ’C’, ’D’ .
Class A: Anger
Class B: Minor Depression
Class C: Serious Depression
Class D: Fear
After this the recommender system will recommend quotes and speeches pertaining to a particular class in order to assist user.
Code: Recommender system will be created using neighbour based collaborative filtering techniques as it would suggest the things which were helpful for similar users.
Tools Used:
1. Language used: Python
2. Algorithms : Collaborative filtering, Naive bayes, Natural Language Processing
Application:
1. Can be used to identify people suffering from depression, anxiety etc and at the same time help them too.
2. If user is suffering from depression, program will recommend him to visit a doctor and also inform his relatives about the same.
3. If user is often angry, program will suggest him tips for anger management.
4. This model will be helpful to psychiatrists and therapists for curing their clients.
Team members:
1. Abhay Gupta
2. Abhinav Tripathi
