Mental health is a crucial aspect of overall well-being, yet many people struggle to access timely support and resources. According to the World Health Organization, depression affects more than 264 million people worldwide, and anxiety disorders affect over 284 million people. The COVID-19 pandemic has exacerbated these issues, leading to a significant increase in mental health challenges across all age groups. Inspired by these statistics and the urgent need for accessible, proactive solutions, I created WeHear to provide continuous mental health surveillance, assessment, and support for individuals of all ages.
WeHear is a comprehensive web application designed to monitor and assess mental health across all age groups. It features interactive quizzes to evaluate mental well-being, tracks changes over time, and provides personalized feedback and resources. The app identifies potential mental health issues early and offers coping strategies, educational materials, and recommendations for professional support when necessary.
Frontend: Developed using React.js for a responsive and intuitive user interface. Backend: Built with Nodejs and Express to handle data processing and user authentication. Database: Implemented with MongoDb for secure storage and management of user data.
Designing quizzes that are engaging and effective in assessing mental health for different age groups.
Building the whole website and deploying it was a great process indeed!
The importance of a user-centric design in creating applications for diverse age groups, ensuring the interface is engaging and easy to navigate. The critical role of data privacy and ethical considerations when handling sensitive information.
Machine Learning: I will then try to integrate machine learning models for more accurate assessments and personalized feedback. Community Integration: Building a community platform for peer support and shared experiences among users.