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@article{171746,
        author = {Rohit Mugalkhod and Prashanth SN and Nithin HM and Dhanush C R and Kanala Krishna Samhith},
        title = {PolicyLens: Leveraging Technology To Improve Customer Experience While Signing For Insurance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {960-965},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171746},
        abstract = {PolicyLens addresses the critical challenge of insurance policy comprehension through an innovative MERN stack-based solution integrated with Google's Gemini AI. The system transforms complex insurance documents into accessible, user-friendly formats through three core functionalities: automated document summarization, multilingual translation support, and an AI-powered chatbot. The platform leverages MongoDB for data persistence, Express.js for RESTful API implementation, React.js for dynamic user interfaces, and Node.js for server-side operations, as evidenced in the project structure at /server/src and /client/src. Notably, the system implements a sophisticated document processing pipeline using Cloudinary for storage and Gemini API for intelligent text analysis, making insurance policies understandable across language barriers. The platform's effectiveness is enhanced by features such as text-to-speech conversion for accessibility, personalized dashboards for policy management, and context-aware policy comparisons, demonstrating significant improvements in user engagement and comprehension of insurance documentation.},
        keywords = {Insurance Technology, MERN Stack, Gemini AI, RESTful APIs, AI Chatbots, Document Summarization, Regional Language Translation},
        month = {January},
        }