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A smart Solution for mental health checkup with aid of ML , applied with Firebase to store data and a dedicated ARCore App to make it interactive. Feature includes Dialogflow implementation and AudioPlaying capabilities to highlight the features presented

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TreavVasu/abhisargah_PS-5

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abhisargah_PS-5

Team abhisargah (1)

this repo contains the solution created by team abhisargh made during the hackaton organized by codeutsava

Problem Statement:

To create an informative AI-based tool that should be able to give alerts and identify cases of mental health issues in children and also track the improvement status in identified cases. It should be able to track mental health issues prevalent in children from birth to the ones which they acquired later in their life for remediation and counseling. The tool should support teacher’s.

Why this problem Statement?

This problem affects large chunks of the population, as compared to other problems which targeted only selective sections of the society. Mental health has become a serious issue, especially post Covid-19, which calls for a widely accessible solution. Mental health of children is generally ignored, but it plays a crucial role during the development years of a child.

Objectives:

AI tool to identify mental health issues It should be able to track mental health issues that requires attention. Tool should help parents and teacher to assess their children's mental health

Solution:

Abhisargah Abhisargah is an Android-AI based mental health assessment tool, which securely collects and analyses user data to keep a record of their mental health while upgrading its own performance. Unlike any other mental health assessment tool, our app has lots of different features described below: AI-based Mental Health Assessment tool Cloud-based storage for security and accessibility Chat-bot for better UI AR based data collection Unique ID for every user, which will keep the results secure. Mental Health-related articles and yoga sessions linked to the app Test results based on 24 Key indicators Test results of user to be accessible by their parents and children

Tech used:

Tableu

Summary of Tech Stack

Flutter
Tableau
A.I./M.L.
Cloud
A.R.

How To Start :

Place credentials.json at assets/chatbot/ directory then press $ flutter run in terminal

ScreenShots

drawing drawing drawing
drawing drawing

Video

YouTube

Team members

Divy Arpit (3rd year, CSE, NIT Raipur) LinkedIn Vasu Soni (3rd year, CSE, NIT Raipur) LinkedIn
Shikhar Mishra (3rd year, CSE, NIT Raipur) LinkedIn Yash Bansal (3rd year, CSE, NIT Raipur) LinkedIn
Shruti Agrawal (3rd year, CSE, NIT Raipur) LinkedIn Ayush Chouksey (3rd year, Mech, NIT Raipur) LinkedIn Shubham Gupta (3rd year, CSE, NIT Raipur)

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A smart Solution for mental health checkup with aid of ML , applied with Firebase to store data and a dedicated ARCore App to make it interactive. Feature includes Dialogflow implementation and AudioPlaying capabilities to highlight the features presented

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