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@article{197124,
        author = {G. Satish and Settibathula Jyothi and Motupalli Vishnu and Maddimsetti Rishika and Pilli Suma Sri and Dr.Y. Venkat},
        title = {AI-Driven Email and Report Drafting System Using Generative Artificial Intelligence (Google Gemini)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6068-6072},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197124},
        abstract = {Email is a valuable tool, but sometimes it creates some challenges like time consumption for writers. Miscommunication occurs frequent when people have different expectations about the messages that they send and what they receive. Students and organizational people frequently spend much time writing and revising reports and emails. Proficient communication through emails and reports is tiring and time-consuming in both corporate and academic situations. Preserving reliability in structure, clarity and tone often needs significant manual effort, especially under time restrictions. Recent developments in Generative Artificial Intelligence (GenAI) especially Large Language Models (LLMs), have empowered automatic generation of human-like text based on prompt or context. This made a way to discover an AI-Driven Email and Report Drafting System that uses Google Gemini Large Language Model to create or generate context-aware, high-quality professional content. The system is executed using an enterprise-grade N-Tier architecture by using React.js with a TypeScript frontend, a RESTful backend with Flask, and PostgreSQL relational database. Secure access is given with JWT (JSON Web Token) based authentication and Role-Based Access Control (RBAC) to separate admin and standard user privileges. Instruction based prompt engineering techniques helps in controlling the tone, structure, and quality of the generated content. The shaped content is stored for review and future reference. This demonstrates how Generative AI can be integrated into secure, scalable software systems, while maintaining consistency for academic and real-world use.},
        keywords = {Generative Artificial Intelligence, Google Gemini, Prompt Engineering, JWT Authentication, N-Tier Architecture, Flask, React, PostgreSQL},
        month = {April},
        }