AI ACADEMIC REPORT GENERATOR CHATBOT
Abstract
In academic research and project documentation, generating structured and coherent reports is a time-consuming task that often diverts focus from the actual innovation. This paper presents the AI Academic Report Generator, an intelligent system that automates the process of creating academic-style reports using generative artificial intelligence. By leveraging the Gemini model, the system accepts user inputs such as project title, description, workflow, and implementation tools, and produces a complete report containing standard academic sections including Abstract, Introduction, Methodology, Results, and Conclusion. The generated reports maintain formal language, justified formatting, and professional structure suitable for academic submissions. This automation reduces manual effort, enhances report consistency, and serves as a valuable tool for students, researchers, and professionals engaged in technical documentation and project reporting.
References
OpenAI. (2023). GPT-4 Technical Report. arXiv preprint arXiv:2303.08774. Provides the foundation for AI-based text generation used in this system.
Google DeepMind. (2024). Gemini 1.5 Model Overview. Retrieved from https://deepmind.google/technologies/gemini/
Describes the Gemini family of AI models leveraged for content generation in this project.
Mozilla Developer Network (MDN). (2024). Using Fetch and JSON in JavaScript.
Retrieved from https://developer.mozilla.org/
Reference for implementing API communication between the frontend and backend.
Mozilla Foundation. (2024). Express.js Documentation. Retrieved from https://expressjs.com/Official documentation used for developing the Node.js backend server.
jsPDF Developers. (2024). jsPDF: Client-side JavaScript PDF Generation Library.
Retrieved from https://github.com/parallax/jsPDF
Used in the frontend to format and export the generated academic report as a PDF.
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