Beta Mode • Academic Major Project (8th Semester)

Astra AI

A chatbot based upon RAG architecture, combining information retrieval with text generation for college students and professors.

Project Overview

Astra AI is an intelligent assistant designed specifically for academic environments. Built on Retrieval-Augmented Generation (RAG) architecture, it combines custom vector knowledge retrieval with large language models to deliver precise contextual answers.

The system supports both cloud LLM APIs (powered by Groq) and local LLM execution. Web scraping capabilities enable real-time factual lookups tailored to student coursework and institutional queries.

Key Features

RAG Architecture

Combines vector retrieval with generation for context-aware responses.

Online & Local LLMs

High-throughput inference via Groq API alongside offline local LLMs.

Web Scraping

Automated real-time extraction of course and university info.

Academic Focus

Tailored prompt structures and UX for students & faculty.

Technologies & Tools

Aceternity UILenisMotionClerkReact MarkdownRAG ArchitectureGroq APILocal LLMs

Team Members

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