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NED Admission LLM Chatbot FYP

This is the final year project of university, in which my group is developing a chatbot for university admissions using LLMS and RAG. The bot is powered by Langchain and FastAPI. The UI and frontend is developed in Next.js.

NED Admission LLM Chatbot FYP

This is the final year project of university, in which my group is developing a chatbot for university admissions using LLMS and RAG. The bot is powered by Langchain and FastAPI. The UI and frontend is developed in Next.js.

Author Avatar Theme by ali-bin-kashif
Github Stars Github Stars: 28
Last Commit Last Commit: Aug 2, 2024 -
First Commit Created: Aug 8, 2025 -
NED Admission LLM Chatbot FYP screenshot

Overview

The NED University Admissions ChatBot is an innovative solution aimed at transforming the way prospective students interact with the admissions process. By utilizing advanced language models and vector databases, the chatbot alleviates the overwhelming volume of inquiries that often burden university staff, ensuring that students receive timely and accurate information. This tool not only enhances the user experience for applicants but also streamlines operational efficiency for administrative teams during peak admission periods.

As higher education institutions adapt to rising digital expectations, the development of this chatbot marks a significant leap towards automating routine inquiries and enabling a more responsive admissions framework. With its capabilities driven by state-of-the-art technology, the ChatBot is poised to make a lasting impact in the realm of academic admissions.

Features

  • Advanced AI Integration: Utilizes cutting-edge language models like Llama3 and GPT-4o to provide instant and accurate responses to inquiries.

  • User-Friendly Interface: Designed with a straightforward frontend built in Next.js, ensuring ease of use for students navigating the admissions process.

  • Robust Authentication System: Includes a secure user authentication feature, allowing for chat history saving and retrieval.

  • API Functionality: Employs FastAPI to create efficient endpoints for user interaction and admin operations, enhancing overall chatbot utility.

  • Dynamic Document Handling: Allows administrators to add, remove, and update data files in the vector database, ensuring that students receive current and accurate information.

  • Scalable Infrastructure: Leveraging cloud services such as AWS RDS and S3 Buckets, the system is designed to handle varying loads efficiently.

  • Streamlined Inquiry Management: Effectively manages high volumes of queries, significantly reducing staff workload and improving response times.

  • Enhances Institutional Reputation: Positions NED University as a tech-forward institution, demonstrating commitment to innovation in student services.