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.
Production-ready semantic vector search for Django — searches across FK, M2M, and reverse relations by traversing your model graph. Pluggable backends: ChromaDB, FAISS, Qdrant.
🚗 Complete vehicle re-identification system: YOLO detection, OSNet embeddings, FAISS search. Session-based, no database, modern UI.
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.
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.
An LLM-powered semantic search tool for arXiv papers using sentence transformers and vector similarity search.
Full-stack RAG app — upload PDFs, ask questions. FAISS vector search + Groq LLM + Redis caching + per-user session isolation. Deployed with AWS Lightsail.
AskMyPDF AI is a smart digital assistant that lets you "talk" to your PDF documents to get instant answers without reading through every page.
A RAG chatbot that answers user questions using Wikipedia articles as context
A production-grade Retrieval-Augmented Generation (RAG) chatbot using LangChain, FAISS, and Groq Llama-3. It enables semantic PDF search, conversational memory, and context-aware responses powered by vector embeddings and real-time retrieval.
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
Deep Learning Image Based Fashion Recommendations
web_crawling_with_genaiAI is an AI-powered web crawling and content extraction system that collects website data, structures information intelligently, and enables smart search, summarization, and conversational Q&A using RAG, vector databases, and Generative AI
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.
Cross-lingual (DE ↔ EN) hybrid document search over PDF/DOCX. Combines BM25, multilingual sentence embeddings (FAISS / Elasticsearch), proximity scoring, and optional DeepSeek (Ollama) for query expansion, re-ranking, and explanations. FastAPI backend + zero-dependency web UI.
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
RAG Chatbot to provide advice based on YouTube Channel Transcripts
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