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TEAM:�TOURIST_KE_BETE

PROJECT NAME:

GLEE

THEME:

MENTAL HEALTH

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PROBLEM STATEMENT

  • Provides access to mental health counseling in remote areas as mental health professionals are concentrated mostly around the Tier-1 cities.

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  • Helps users in their mindfulness journey by keeping track of their focus levels.

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  • A chatbot that helps users with financial problems that cannot afford a proper counseling session.

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PROPOSED SOLUTION

  • Focus Mode built using ML that quantifies the amount of focus per meditation session and shares data with users to keep track of their performance.

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  • Live video consultation with a doctor along with emotional state determination using ML that helps the doctor have an objective measure of the emotional state of the patient along with their own observations.

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  • A mental focused fine tuned GPT based chatbot to comfort and inform the user about any relevant or uplifting information to help users in times of nonavailability of a relevant medical professional.

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IMPLEMENTATION

  • A fully functional website that is built with MongoDB, Node.js, and Express. js,webrtc, and ML with complete authentication with JWT and email verification using OTP.

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  • Live video consultation with a doctor along with emotional state determination using ML that helps the doctor have an objective measure of the emotional state of the patient along with their own observations.

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  • A blogging community where people can share their journeys and struggles with mental health issues anonymously.

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WOW FACTOR

  • We have implemented emotion detection systems that check users’ emotion throughout the therapy session and saves the data for the doctor to compare to the previous data and helps decide the further course of action.

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  • We have a focus mode that keeps track of the head and eye movements to determine your level of focus and gives you an objective measure of your progress.

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FUTURE PLANS

  • Improving the chatbot to give personalized responses to a specific question based on the users’ focus mode and emotion data.

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  • Smoother integration of the ML model and optimization of the model’s accuracy.

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  • Creating a monthly subscription model that allows users to book a certain number of sessions per month along with personalized meditation recommendations.