MentalHealthAI-Provides symptoms,possible diagnostics and consultation referrals to patients.
- 0 Collaborators
I primarily built this for Mental Health fitness but it augments other services such as distant health consultancy, accurate information provision and interactive chats with the user.Utilization of an Artificial Intelligence system which incorporates automation through use of a task bot,NLP etc ...learn more
Project status: Under Development
Mobile, Artificial Intelligence
Intel Technologies
oneAPI
Overview / Usage
Utilization of an Artificial Intelligence system which incorporates automation through use of a task bot, Natural Language Processing capabilities with the use of a chat bot and all these fully interact with the users offering them highly required services. The additional functionalities here include the utilization of Natural Language Processing capacities, functional bots and its deployment to both offline and online platforms. It uses the Intel oneAPI's ;Direct Programming- Intel Distribution for python used for building data-centric systems and also seeks to encompass the API programming with the Intel oneAPI's Neural Networks and Data Analytics libraries.
My inspiration - I had experienced (from relatives)and heard of innumerable stories of many people having mental health issues to the extent of committing suicide or even doing worse things to those surrounding them. With this heightened fear caused by the corona pandemic, such cases are rapidly increasing and if not careful enough we may lose our loved ones. Common disease awareness should also be provided to citizens to avoid panicking at such times.
Methodology / Approach
Technology offers a new vision towards problem solving. It has various disruptive fields such as Artificial Intelligence, IoT and Blockchain. These technologies enable integration and automation of tasks. They also lead to a higher percentage of accuracy in relation to human beings. I used the artificial intelligence algorithm to make it easy for many for evaluation considering current results of data used to train the model. I also provided it with basic automation to seek further guidance for assertiveness and better quality.
It has a touch on the Python Flask framework for testing and implementation purposes. Other innumerable frameworks can also be used to develop the same. Data is fetched from the user then passed to the intelligent model which then predicts a given possible outcome with a good accuracy.
Technologies Used
Intel oneAPI
Decision Trees Algorithm
Intel's python distribution
Intel's processor core i3 powered
Keras(Deep Learning)
Artificial Intelligence
Statistical Variations
Deep Learning