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@article{196819,
        author = {Dr. MK Jayanthi Kannan and Tanishka Khare and Akshaya Singh Bais and Surbhi Agnihotri and Sk Sahil Akhtar and Syed Muddassir Sajjad Jafri},
        title = {Transform EQ to IQ: Emotional Intelligence and Mental Wellness Check-In System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7209-7218},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196819},
        abstract = {This paper presents a literature review of existing chatbot-based mental health systems and introduces an offline emotional check-in system designed for privacy-focused self-reflection. Existing solutions such as AI-enabled chatbots, mobile mental health applications, and mood tracking platforms rely heavily on internet connectivity and cloud-based data storage, raising ethical and privacy concerns. The proposed system, implemented using Python and Tkinter with optional local AI integration (Ollama), eliminates dependency on internet services and avoids data storage. It focuses on non-diagnostic emotional awareness through rule-based analysis and optional offline AI support. This review highlights the gap in offline, ethical, and privacy-preserving mental health tools and positions the proposed system as a safe and scalable academic solution.},
        keywords = {mental health chatbot, offline system, emotional check-in, NLP, privacy, AI, Tkinter.},
        month = {April},
        }