Gemini-Powered Mental Wellness Platform with Real-Time Emotion Tracking,Mood Logging, and PDF Reports
Mental health support is often constrained by stigma, cost, and accessibility. To address these limitations,we developed Mentora, an artificial intelligence-powered chatbot utilizing Natural Language Processing (NLP) to provide real-time emotional support, sentiment analysis, and mood tracking. Constructed using Google’s Gemini API models and Flask, Mentora delivers empathetic responses while ensuring user privacy. Incorporating sentiment analysis, Mentora classifies user emotions in real-time to adapt its tone and suggest relevant coping strategies. The integrated mood log page allows users to track their daily emotional states, visualize trends, and reflect on progress through intuitive heatmaps and frequency charts. Additionally, speechrecognition is embedded to enable hands-free interaction, enhancing accessibility for users who prefer vocal input or experience typing fatigue.Our research focuses on enhancing Mentora’s empathetic understanding, contextual response accuracy, and user engagement. User feedback and performance testing demonstrate its potential as an accessible mental health tool. While not intended as a substitute for professional therapy, Mentora serves as an initial resource for individuals seeking support. Future work encompasses therapist integration, multilingual support, and advanced emotional recognition capabilities for a more personalizedmental wellness experience.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-25
- DOI
- https://doi.org/10.5281/zenodo.15513033
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00