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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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Volume Published : 11
Issue Published : 118
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| Paper Title: | MIND MENTOR |
| Authors Name: | Prathamesh Pawar , Rushikesh Date , Kedar Chinde , Shreyas Girange |
| Download E-Certificate: | Download |
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IJRTI_203581
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| Published Paper Id: | IJRTI2505087 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | Abstract: The "MIND MENTOR" mental health chatbot app is developed as a digital solution to address the global mental health crisis by providing a scalable and accessible mental health intervention tool. Mental health resources are critically underprovided, with over 70% of people in need lacking adequate access to psychological services due to a shortage of trained mental health professionals (World Health Organization). Many people, particularly those affected by stigmatization, are hesitant to seek traditional mental health assistance. MIND MENTOR provides an alternative through an interactive chatbot, serving as a conversational agent designed to provide emotional support and therapeutic resources based on user sentiments. Built using the Rasa framework, this application leverages Natural Language Understanding (NLU) to interpret user intentions and emotional states, offering personalized, sentiment-based recommendations in the form of video links that may provide therapeutic benefit. MIND MENTOR’s chatbot acts like a virtual therapist, guiding users through their emotions by analysing their conversational patterns and responding with targeted feedback. The application uses Flask for backend processing, MySQL for data storage, and a frontend developed with HTML, CSS, and JavaScript. Through this chatbot, users can express their emotions in a supportive, judgment-free space. The app then categorizes sentiments into positive, negative, or neutral, and provides appropriate resources to support users’ mental health. This project highlights the effectiveness and convenience of chatbot-based mental health support, offering users an accessible entry point for emotional assistance while also addressing mental health stigmatization. |
| Keywords: | Mental Health, Chatbot, Sentiment Analysis, Natural Language Understanding, Rasa Framework, Flask, AI, Emotional Support, Machine Learning, Natural Language Processing, Mental Health Intervention, Conversational AI, Text Classification, Virtual Therapist, User Interaction, Psychological Support, Sentiment Classification, Mental Health Accessibility, Scalable Mental Health Solutions, User Sentiment Analysis, Real-time Emotion Detection, Therapeutic Chatbot, AI-Powered Mental Health, Mental Health Stigma Reduction, Emotion Recognition, User Engagement, Mental Health Resources, Python, Frontend Development, Backend Development, MySQL, Interactive User Interface, Mental Health Assistance, Digital Mental Health, User-Centered Design, Scalable Solutions, Intelligent Chatbot, Rasa NLU, Flask Backend, HTML, CSS, JavaScript. |
| Cite Article: | "MIND MENTOR", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a725-a729, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505087.pdf |
| Downloads: | 000490 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505087
Registration ID:203581
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a725-a729 Country: Pune, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505087 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505087 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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