SCIST x SCAICT Camp 2026 聯合寒訓 AI 系列課程 - 教材與原始碼
Text-to-image search engine for fashion runway photos using CLIP and FAISS.
🚗 Complete vehicle re-identification system: YOLO detection, OSNet embeddings, FAISS search. Session-based, no database, modern UI.
Automatically turns research papers into fully structured Python projects. Using a multi-agent pipeline with RAG-based context retrieval. With Human-in-the-loop approval. Perfect for quickly prototyping implementations from academic papers.
RAG-based-on-PDF is a RAG system that lets users ask questions from one web page of VS code documentation which is scraped (given below) using FAISS, HuggingFace embeddings, and a OpenRouter Api via a FastAPI backend and Streamlit as Frontend.
An LLM-powered semantic search tool for arXiv papers using sentence transformers and vector similarity search.
Persistent conversational AI with memory, identity, and time awareness — powered by Gemini API
AskMyPDF AI is a smart digital assistant that lets you "talk" to your PDF documents to get instant answers without reading through every page.
The Medical RAG Chatbot is an AI-powered chatbot designed to provide accurate medical information using a Retrieval-Augmented Generation (RAG) approach. It combines large language models (LLMs), vector search, and PDF data to deliver precise, context-aware answers.
A lightweight FastAPI service for ingesting documents, creating embeddings with SentenceTransformers, indexing them in FAISS, and performing semantic search.
Inmemory semantic search over images/captions using image and text
FarhunVerse is an interactive, AI-driven developer portfolio built entirely using Streamlit,designed to showcase my technical expertise, hackathon achievements,creative pursuits in one dynamic experience. It merges the elegance of modern UI design with AI-powered interactivity, making it more than just a portfolio —it’s a living digital identity
A smart book discovery app that finds your next read based on the specific story you want to experience, not just genres. Tell us what kind of narrative you're craving, and we'll match you with perfect books.
RAG-powered document assistant that lets you chat with multiple PDFs using natural language. Built with LangChain, FAISS, and Gemini 2.0 Flash for context-aware, grounded answers.
基于OpenCLIP的图像检索系统，支持文搜图、图搜图，结合FAISS能够通过用户上传图片库快速建立索引来实现图像检索
RAG Chatbot to provide advice based on YouTube Channel Transcripts
Deep Learning Image Based Fashion Recommendations
Local Retrieval-Augmented Generation system for PDF QA using Ollama and FAISS
AI-powered multi-document research assistant
RAG chatbot for answering questions about PDF reports using FAISS and Sentence Transformers
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