A user friendly and secure platform for mentally imbalanced/ill people to express their feelings with an Azure chatbot AI along with the custom health test based on machine learning model trained using Random Forest and kaggle Mental Health dataset in tech industry.
showcase.mp4
Overall Design and looks...
The Mental Health Support Applications project is a compassionate and user-centric initiative aimed at offering valuable support, resources, and a sense of community to individuals grappling with mental health challenges. In today's fast-paced world, mental health issues are increasingly prevalent, and this project seeks to address these issues through a suite of user-friendly applications.
Custom ML Model & Deployement -
The Mental Health Support Applications project leverages a range of technologies and tools to deliver a seamless and effective user experience. These include:
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Backend Framework: Flask - A high-level Python web library known for its speed, security, and scalability and simplicity.
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Programming Language: Python - A versatile and easy-to-read programming language used for the server-side logic.
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Chatbot Services: Microsoft Azure ChatBot Services - Leveraging the power of Azure for creating empathetic chatbots capable of providing mental health support.
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Machine Learning: Scikit-Learn - A Python library for machine learning, including the creation and training of custom machine learning models.
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Machine Learning Model: Custom Random Forest Model - A machine learning model trained with Random Forest algorithms to provide data-driven insights and support.
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Version Control: Git - A distributed version control system for tracking changes in code.
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Hosting: Microsoft Azure - A cloud platform for hosting and deploying web applications.
- Django
- Python
- Microsoft Azure ChatBot Services
- Scikit-Learn
- Git
- Microsoft Azure
- Mental Illness Predictive ML Design & Deployement
Main(MentalHealth)
|___ Homepage
|___ About
|___ Contact
|___ Mental Health Test
|___ ChatBot AI Friend
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- If you have suggestions for adding or removing projects, feel free to open an issue to discuss it, or directly create a pull request after you edit the README.md file with necessary changes.
- Please make sure you check your spelling and grammar.
- Create individual PR for each suggestion.
- Please also read through the Code Of Conduct before posting your first idea as well.
Distributed under the MIT License. See LICENSE for more information.
- Vedant Gune - Elex & Comp Engg Student - Vedant Gune - Developed the whole application as a final project for Microsoft Future Ready Talent Search Internship Program