Heal Up - (Intelligent Spirtual Therapist & Information System)

Project Title

Heal Up - (Intelligent Spirtual Therapist & Information System)

Project Area of Specialization Artificial IntelligenceProject Summary

Our AI Based system software named “Heal Up” will provide you a spiritual therapist which helps you to monitor and improve your mind & health. Our AI system programmed to help you overcome anxiety. It benefits people trying to manage their emotions and behaviors through an interactive and self-guided platform. Users share their thoughts and feelings with this spiritual therapist. And at the end therapist provide output in the form of Quranic verses, motivational quotes or suggest the user any activity or exercise.

Project Objectives

Our system “Heal Up” claims that it can help you feel less anxious, less stressed, and less blue. In terms of improvement, the boasts it can make you more confident, focused, creative, balanced, optimistic, productive, and positive. Lastly, it claims to help you feel overall happier.

? Can be used to identify people suffering from depression, anxiety etc.                    

? This model will be helpful to psychiatrists and therapists for curing their clients.

? Providing recommendations and effective therapies.

? Learn about yourself with intelligent mood tracking.

Project Implementation Method

For Application: -
For front end and back end we are using the different technologies, IONIC is the framework which have the combined power of JavaScript, HTML, CSS and Angular. It can design front and back end for different devices that makes it cross platform technology. There should be a good and a proper development environment and a secure framework. The fire base database is used. Fire base real-time database supports multiple platforms android, IOS and web. Make sure the database schema is efficient and the code written should be optimized.

For AI System: -

Our project is combination of Natural Language Processing and Recommender Systems. The classes will be built through the following algorithms and technologies.

- Natural Language Processing: In our project we are going to use NLP to detect user’s feelings. NLP helps computers communicate with humans in their own language and scales other language-related tasks. For example, NLP makes it possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important.

Recommender Systems: A recommender system is a subclass of information filtering system that seeks to predict the "rating" or "preference". Recommender system will show the content based on user’s current emotions. It will recommend quotes, speeches, verses 
etc. The recommender system will be built through collaborative filtering techniques.

Collaborative Filtering Techniques: As one of the most successful approaches to building recommender systems, collaborative filtering uses the known preferences of a group of users to make recommendations or predictions of the unknown preferences for other users.

Naive Bayes Algorithm: Naive Bayes is a probabilistic machine learning algorithm that can be used in a wide variety of classification tasks. We are going to use this for sentiment prediction.

Benefits of the Project

Our system “Heal Up” claims that it can help you feel less anxious, less stressed, and less blue. In terms of improvement, the boasts it can make you more confident, focused, creative, balanced, optimistic, productive, and positive. Lastly, it claims to help you feel overall happier.

? Can be used to identify people suffering from depression, anxiety etc.                    

? This model will be helpful to psychiatrists and therapists for curing their clients.

? Providing recommendations and effective therapies.

? Learn about yourself with intelligent mood tracking.

Technical Details of Final Deliverable

Our system “Heal Up” claims that it can help you feel less anxious, less stressed, and less blue. In terms of improvement, the boasts it can make you more confident, focused, creative, balanced, optimistic, productive, and positive. Lastly, it claims to help you feel overall happier.

? Can be used to identify people suffering from depression, anxiety etc.                    

? This model will be helpful to psychiatrists and therapists for curing their clients.

? Providing recommendations and effective therapies.

? Learn about yourself with intelligent mood tracking.

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other Technologies NeuroTech, Big DataSustainable Development GoalsRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	0
Machine Learning	Miscellaneous	0	2000	0