Paper Contents
Abstract
The Mental Health Check app using NLP and Flutter is an innovative solution designed to provide real-time mental health assistance through an interactive and supportive app. This system utilizes Natural Language Processing (NLP) techniques to analyze and understand user inputs, enabling it to generate contextually relevant and empathetic responses. The chatbot acts as a conversational partner, offering mental wellness advice, coping strategies, and emotional support based on the user's concerns. Built with the Flutter framework, the application ensures accessibility and ease of use across multiple platforms, including Android and iOS, allowing users to access support from anywhere at any time.The chatbots AI capabilities are continuously improved through machine learning models that adapt to usersemotional states and preferences, providing personalized mental health advice. It integrates resources such as relaxation techniques, mindfulness exercises, and self-care tips, empowering users to take proactive steps in managing their mental well-being. By fostering an empathetic and non-judgmental interaction, the chatbot reduces the stigma surrounding mental health, encouraging open dialogue. This project aims to enhance mental health awareness, offer timely support, and promote emotional well-being, making mental health resources more accessible to a wide range of users.Keywords: Mental Health, App, NLP, Flutter, Machine Learning, Emotional Support
Copyright
Copyright © 2025 Mahesh Gurve. This is an open access article distributed under the Creative Commons Attribution License.
