Scholars Vector - Moozonian

GitHub Repo https://github.com/ProneDragonJohn/Scholarships_Vectors

ProneDragonJohn/Scholarships_Vectors

Demonstrates the use of vectors and updates a .dat file.

GitHub Repo https://github.com/ishika955/ScholarSync

ishika955/ScholarSync

LLM-driven scholarship intelligence platform built with FastAPI, React, and vector search. Extracts eligibility from PDFs and matches students with clause-level explanations.

GitHub Repo https://github.com/saniyashaikh1417/RAG---Scholarship-info

saniyashaikh1417/RAG---Scholarship-info

Lightweight RAG system for scholarship Q&A built with LangChain, ChromaDB, and Google embeddings. Processes documents into vectors, retrieves relevant chunks via similarity search, and generates accurate, context-aware answers grounded in the data.

GitHub Repo https://github.com/hemanthballa07/scholarsense

hemanthballa07/scholarsense

Eligibility-aware scholarship search and recommendation system. Hybrid retrieval (vector + BM25 + structured filters) composed with LLM eligibility verification and explainable ranking. Built on Azure (.NET 9, React/TS, Cosmos DB, Azure AI Search, Azure OpenAI).

GitHub Repo https://github.com/HarikeshPratapSingh/ScholarSearch_Research_Paper_Recommender

HarikeshPratapSingh/ScholarSearch_Research_Paper_Recommender

Recommends research paper on the basis of the cosine similarity of the abstract word vectors.

GitHub Repo https://github.com/anjaneya-sharma-1/ScholarSage

anjaneya-sharma-1/ScholarSage

AI research assistant using RAG Implementation, FAISS vector DB, Hugging Face transformers, and sentence-transformers. Features semantic search, query expansion, PDF processing, and automatic research from Wikipedia and ArXiv. Built with Python, leveraging LLMs like Mistral, Mixtral, Gemma, and Llama for intelligent responses.

GitHub Repo https://github.com/LearningCoding101/scholarship-vector-search-prototype

LearningCoding101/scholarship-vector-search-prototype

No repository description available.

GitHub Repo https://github.com/krishang2205/ScholarSynth_AI-CE

krishang2205/ScholarSynth_AI-CE

ScholarSynth AI is a Chrome extension research assistant that lets you capture web content, generate AI summaries and topic tags, semantically search and chat over your saved notes, and visualize relationships and trends—all locally stored using React + TypeScript, Gemini AI for analysis, vector search, and D3-based visual insights.

GitHub Repo https://github.com/Vamsikrishnv/genai_scholarship_engine

Vamsikrishnv/genai_scholarship_engine

A production-style FastAPI + GenAI microservice for personalized scholarship recommendations using a vector store and plug-and-play LLM (RAG pattern). 🚀🎓

GitHub Repo https://github.com/vtmike2015/Graph-Based-Literature-Review-Tool

vtmike2015/Graph-Based-Literature-Review-Tool

This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.