Treffer: Voice Activated Information Assistant for College.

This project presents a web-based application for managing and retrieving student, faculty, placement, course, and event details using AWS DynamoDB as the backend database. The system integrates a chatbot with voice interaction functionality, allowing users to fetch information efficiently. The chatbot processes queries by searching records in DynamoDB and utilizing FAISS (Facebook AI Similarity Search) for fast and accurate retrieval. The Sentence Transformers model (all-MiniLM-L6-v2) is employed to enhance query matching, ensuring relevant results. The frontend is developed using HTML, CSS, JavaScript, and Bootstrap, providing an interactive and user-friendly experience. Users can navigate through different sections via dedicated icons for students, faculty, placements, events, and courses, each supporting filtering options for refined searches. Additionally, the chatbot facilitates voice-based interactions using browser speech recognition and text-to-speech features, enhancing accessibility and ease of use. The integration of cloud-based storage with efficient retrieval mechanisms ensures scalability and improved performance, making the system a reliable solution for educational institutions. [ABSTRACT FROM AUTHOR]

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