Project is divided into 2 main parts, an android application for user interface and a server code for running the graph queries. A hybrid chatbot model has been used which consists of a knowledge graph as the primary model and series of text similarity models as a backup model for user queries. Users can initiate a one-on-one conversation with this chatbot to find the correct diagnosis for there disease. It takes user and disease attributes as inputs to run the filter on the knowledge graph, and eliminate all the diseases which does not come in the attribute sets.

Project consists of 2 main parts, an android application for user interface and backend server code for fetching internship opportunities. Android application consists majorly of internship openings page, posting description page, user profile page, user tracking page, etc. Backend code consists majorly of cron jobs which runs twice a day on every major internship opening providers and all major MNC's providing software internships. It runs a scraper to find any new openings that might have been posted and extracts all the relevant content for the users.