Authors : Vaibhavi Ladhe; Suraj Magdum; Dhruv Mahajan; Eeshan Malwandikar; Nikhil Dhavase

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/hnx6em79

Scribd : https://tinyurl.com/2pwrxwm3

DOI : https://doi.org/10.38124/ijisrt/25apr1982

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Abstract : The Meeting Manager Application is a web-based tool designed to simplify the organization, execution, and documentation of meetings. The application offers a comprehensive suite of features, including the ability to create meetings, upload relevant documents, manage discussion points, generate agendas, transcribe meeting recordings, and produce detailed meeting summaries. It leverages advanced technologies such as Flask for the web framework, SQLAlchemy for database management, ChromaDB for vector storage, and Google’s Gemini Large Language Model (LLM) for natural language processing tasks. The system integrates state-of-the-art machine learning techniques, utilizing Sentence Transformers to generate text embeddings, which are stored and queried for similarity search in ChromaDB. By automating key aspects of meeting management, the application improves efficiency and reduces manual effort. This project demonstrates how AI-driven solutions can streamline workflow processes in corporate settings. Future enhancements include support for multi-user collaboration, scalability, and real-time meeting analysis for enhanced user experience.

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