StudyBuddy Local: Your Private AI Study Partner. Your Notes Stay Yours.

说明与用途

StudyBuddy Local 是一款离线、隐私优先的学习助手，能够本地处理 PDF/TXT 文档，生成向量索引，检索相关片段，并使用本地 LLM 生成基于证据的答案、测验和摘要，完全不依赖云服务。

问题

Students need a private, offline study assistant that can transform lecture notes into chat, quizzes, and summaries without uploading sensitive documents to the cloud.

结果

The tool enables fully offline, privacy-preserving study assistance, providing grounded answers with citations, quizzes, and summaries without cloud dependencies.

工作流

• Upload PDF/TXT to local Streamlit interface
• PyMuPDF extracts text and page metadata
• Chunker splits content into sentence-aware overlapping chunks
• Sentence Transformers generates embeddings on-device
• ChromaDB stores embeddings locally
• Student asks a question via chat interface
• Retrieval matches question to relevant chunks and returns passages
• Ollama with Qwen2.5 3B generates answer with source citations
• App displays answer, quiz, or summary
• Pydantic validates quiz output
• Pytest tests document processing, retrieval, chat, and quiz flows

证据

StudyBuddy Local is a private study partner I built for a friend preparing for university exams.

来源

Extracts text and page metadata from PDFs and text files, then splits it into overlapping, sentence-aware chunks.

来源

Creates embeddings on-device and stores them in a local ChromaDB collection.

来源

Generates validated multiple-choice quizzes, summaries, and revision notes using a local Ollama model (Qwen2.5 3B by default).

来源

Keeps the interface bound to localhost, disables Streamlit usage statistics, and has no cloud fallback.

来源