Year: 2025
Type: article
Abstract: : Mental health issues such as stress, anxiety, and depression have become increasingly prevalent in today’s fast-paced world. Early detection and timely intervention can significantly improve mental well-being. This project presents a Manasvita : AI-Powered Multimodal Mental Wellness Platformintegrating advanced machine learning techniques and AI-driven solutions to assist users in understanding and managing their mental health. The system incorporates user authentication, enabling secure access to personalized assessments and services. A doctor appointment module allows users to schedule consultations with mental health professionals. The platform utilizes Convolutional Neural Networks (CNNs) to analyze facial expressions and predict mental health conditions based on the FER2013 dataset. Additionally, a Random Forest classifier assesses stress levels using a structured dataset. An AI-powered chatbot, leveraging the Gemini AI API, provides users with immediate mental health-related support and guidance. To encourage positive behavioral changes, the platform includes a Task and Reward system, where doctors assign therapeutic tasks, and users earn incentives such as discounts or coupons upon completion. By integrating machine learning, artificial intelligence, and user engagement strategies, this project aims to provide an accessible, technology-driven solution for mental health monitoring and support. The proposed system enhances self-awareness, promotes timely intervention, and bridges the gap between users and professional healthcare services
Author: Ms. Anuradha Singh
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410855717