NITK-ASSIST
Project Overview
It enables natural language querying for better retrieval for relevant information semantically to generate accurate and context-aware responses
About This Project
An Agentic Retrieval-Augmented Generation Platform.
Tech Stack
Team
Mentors
- Pranav
- Kshitij
- Sahil
Mentees
- Ishita
- Prashasti
- Aryan
- Jiya
Methodology
The project follows a structured implementation approach that includes Data Preprocessing., Backend Development., RAG Implementation., and Frontend integration with automation pipeline.. These steps are executed iteratively to validate assumptions, improve performance, and ensure reliable delivery of the final solution.
Expected Outcome
By the end of this project, the team is expected to deliver It demonstrates improved query understanding and response generation using modern AI techniques. Together, these outcomes reflect both technical feasibility and practical value for demos, evaluation, and future scaling.