Hacktoberfest Submission
What I Built CSEHub is a computer-science learning platform: a library of written articles with embedded code snippets, and a per-article AI assistant you can ask questions while reading. The problem it targets is the doomscrolling trap of learning. Most "ask AI" tools are open-ended — you type a question, get a wall of text, and twenty minutes later you're in a completely unrelated topic with…
CSEHub is a computer-science learning platform that offers a library of educational articles with embedded code snippets and an AI-powered chatbot for answering questions related to the article being read. The platform aims to prevent the doomscrolling trap that often occurs when learning new concepts, by providing focused and relevant information from the current article.
The target users are students and early-career developers who seek practical explanations of data structures, algorithms, system design, and design patterns, along with code they can copy and run. The repository contains two Django apps: articles (the library) and chatbot (the RAG pipeline). The chatbot uses Pinecone and Gemini models for retrieval and generation, respectively, while the articles app stores chunks of articles in a Pinecone vectorstore and uses them to generate responses to user queries.
The platform is built using Django 6.0.3, DRF 3.16.0, PostgreSQL, Supabase Auth, drf-spectacular for OpenAPI docs, and a static HTML/CSS/JS frontend.
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