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@article{181100,
        author = {Abhijit and Er. Rohit Kumar and Anchal Singh},
        title = {Emotion-Aware Secure Chat Application Using MERN Stack with Real-Time Sentiment Analysis and One-to-One Messaging},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {6320-6324},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181100},
        abstract = {In this paper, the MERN (MongoDB, Express.js, React.js, and Node.js) stack is used to design and implement a modern, smart, and secure web-based chat application. The system includes JWT-based authentication for safe session management and Socket.IO-powered real-time two-way messaging. A key highlight is its support for one-to-one messaging with media sharing capabilities. Another unique feature is the integration of sentiment analysis using Natural Language Processing (NLP) techniques. This allows the system to assess the emotional tone of messages and automatically flag or decorate offensive or rude messages with appropriate emojis, enhancing the emotional intelligence of communication},
        keywords = {MERN Stack, Chat Application, JWT Authentication, Sentiment Analysis, Real-Time Messaging, Emotion Recognition, One-to-One Chat, Media Sharing.},
        month = {August},
        }