CAREAI

Overview

Suicide is a global public health issue, with millions of lives lost each year. One of the biggest challenges in suicide prevention is identifying individuals who may be at risk before it's too late. Traditional methods of mental health assessment often rely on subjective evaluations and self-reporting, making it difficult to intervene effectively. Leveraging Artificial Intelligence (AI) and Machine Learning (ML) presents an opportunity to develop proactive solutions for suicide detection and mental health monitoring. In this hackathon, participants will tackle the challenge of developing an AI-driven solution for suicide detection and mental health monitoring. The objective is to create a system that can analyze various data sources to identify individuals who may be at risk of suicide or experiencing deteriorating mental health, thereby enabling timely intervention and support.

Features

Voice to Voice AI Assistant: Get personalized responses and user report generation via the detected disorder. The assistant can provide information on precautions, causes, and more.

Personalized Therapist: Share your feelings with our AI Assistant. The system provides a personalized therapist experience.

Specific Disorder Detection: Using EEG Dataset inputs, the system can detect specific disorders and provide special assessments for users.

Doctor Side Dashboard: Doctors can see the patient’s test responses to get more insights. The dashboard provides analysis with respect to age, IQ, and other attributes of the dataset.

Text to Text ChatBot: Share your feelings with our AI Assistant. The system provides a text-based chatbot for interaction.

Community and Blogs Section: Read various blogs and interact with the community.

Technologies Used

React.js Node.js Express.js firebase TensorFlow.js Tailwind CSS WebSockets NLP LLM XAI