Conversational Agent for Mental Health

This project was mentored by Prof. Ashutosh Modi where we attempted to improve a chat-bot that is in development by IIT Kanpur. We did the following -
- Created a semi-automated self-help conversational agent that serves as a cost-effective mental health regulator.
- Designed a retrieval based system where the input is compared to existing conversations in the database using deep learning.
- Used neural network based architectures to find out the similarity between two pieces of texts to generate a response.
- Explored Natural Language Generation (NLG) techniques based on RNN and transformer based architectures.
- Pre-processed to convert the textual data into word embeddings to facilitate comparison among different texts.