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AutoHealthIA

Language : Python modules used : scikit-learn,pandas,numpy
Model : Decision Tree Functionality file : bolt.py...<-run this to have the interaction

How it works

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, 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.

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.

My Lesson - Includes but not limited to: People cherish the little talks we always have and if it's taken then things get bad. Most experiences start chipping in and decisions could be made.

Building Technique - It's fully programmed in python. First , made the decision tree which trains progressively(I'd like to improve this to a random forest algorithm later on).Then from there I built the user case scenarios for diagnosis, health talk, consultancy and information services.

Challenges - I wanted to do a the whole backend functionality on a web app but I figured it'd drag me a little. Linking the user to an health officer who isn't officially informed of her services. Deciding on whether to create an app or a website, so I went ahead and did the official functionality.

Built With

• ai
• data
• datascience
• ml
• python