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Healify : Enhancing Mental Health with Artificial Intelligence

Author(s):

Muhammad Afnan K O , MGM Technological Campus Valancherry; Lal Krishna P P, MGM Technological Campus Valancherry; Pranav T, MGM Technological Campus Valancherry; Rannan A A, MGM Technological Campus Valancherry; Shafna M, MGM Technological Campus Valancherry

Keywords:

AI Mental Wellness App; Django; Flutter; Sentiment Analysis; Facial Emotion Detection; Mental Health; Chatbot; Early Detection

Abstract

Mental health issues are rising due to stress, lifestyle changes, and limited access to timely support. This paper presents an AI Mental Wellness App an intelligent platform to monitor, understand, and improve user mental well-being. The system uses Python with Django for the backend, HTML/CSS/JS/Bootstrap for the web interface, Flutter for Android, and MySQL for data management. It includes three modules: User (registration, wellness exercises, mini-games, AI chatbot, recommendations, doctor views, feedback), AI (sentiment analysis, facial emotion detection, speech-to-text for emotional understanding), and Admin (login, user management, feedback response, game maintenance). By integrating AI with mobile and web technologies, the app offers accessible, proactive mental health support, enabling early detection of distress and connecting users to professionals. Initial testing shows improved user engagement and emotional awareness. Future work includes clinical validation and multilingual support.

Other Details

Paper ID: IJSRDV14I20163
Published in: Volume : 14, Issue : 2
Publication Date: 01/05/2026
Page(s): 140-142

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