# Project export: ScholarSearch

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## Project metadata

- Hackathon: Cal Hacks 10.0
- Tagline: Intelligent textbook and document querying, helping you learn more from your notes quickly!
- Devpost: https://devpost.com/software/scholarsearch
- GitHub: not linked
- Team: contributor stats unavailable

## Devpost submission (written by the team)

### Overview

Document search and content learning reimagined. The ultimate study tool, ScholarSearch provides intelligent document querying **and **conversational active recall, enabling you learn quickly and learn more. 12 lecture notes, each 30+ pages? Feeling unproductive with passive reading? Scholar Search offers a powerful search algorithm for your lecture notes, and an active learning approach for power learner!

### Inspiration

Special thanks to Zilliz for providing the infrastructure! ScholarSearch leverages the powerul paradigm of Retrieval Augmented Generation (RAG) to provide a highly personalised learning experience.

### What it does

ScholarSearch leverages Retrieval Augmented Generation to provide a highly personalised search engine. Query for a topic or general concept, and receive a detailed explanation that combines information across all of your notes. Scholar Search also engages the user in active learning through using the Feynman method -- to practice a topic, engage in conversational active learning where the model prompts the user and evaluates their responses.

### How we built it

The backend was built in Python (Flask) and uses a Milvus vector database. The frontend was developed using React.

## README (from the GitHub repository)

No README available.

## Detected evidence (automated analysis)

No repository was indexed for this project. Claimed technologies below could not be checked against code.
- Hugging Face (technology) — claimed on Devpost, not found in the code
- Python (language) — claimed on Devpost, not found in the code
- React (technology) — claimed on Devpost, not found in the code

## Codebase structure

No repository index available.

## Key source files

No repository index available; no source files included.