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@article{195527,
        author = {Umamaheswararao Mogili},
        title = {NIRAAH – An AI powered Emotional Wellness and Safety Application for Women},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {416-421},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195527},
        abstract = {Emotional well-being and personal safety have become increasingly important concerns in modern society, particularly for women who often experience various social, psychological, and safety related challenges. Due to the advancement of AI, it has enabled the development of intelligent systems capable of understanding and reacting to human emotions. This paper presents NIRAAH, an AI driven mobile application designed to help women emotionally while also providing safety. The system has multimodal emotion recognition, which includes facial expression analysis, speech emotion detection, and text-based sentiment analysis, to identify the user’s emotional state. Based on the emotional state identified by an AI-powered conversational module, the application offers tailored responses. The system includes a safety module in addition to emotional monitoring, which enables users to send out emergency alerts and communicate their location to reliable contacts in dire circumstances. Sensitive user data is handled safely thanks to the platform's robust privacy and security features. The proposed system seeks to offer a complete digital companion that supports women's emotional well-being and personal security by fusing proactive safety features with emotional support.},
        keywords = {Artificial Intelligence, Emotion Recognition, Emotional Wellness, Mental Health Support, Women Safety, Conversational AI.},
        month = {April},
        }