A personal AI chatbot, answering specialized questions relating to Carleton University's Computer Science program. Built using NextJS, React and using OpenRouter API, and deployed on AWS EC2 server.
LLM application which utilises cutting edge libraries such as langchain to generate responses for businesses looking to know more about the different SG policies that can support them. Uses Retrieval Augmented Generation with vector database.
A full-stack, multimodal Retrieval-Augmented Generation (RAG) application that allows users to upload PDF documents and engage in a real-time, conversational Q&A. The backend, built with FastAPI, handles PDF parsing, advanced semantic chunking, and a dual-strategy (semantic + keyword) retrieval from a ChromaDB vector store. The frontend is a modern
University of Hertfordshire. BSc Computer Science. Final Project
This is a web app where you can upload pdf file and then chat with it
An AI chatbot application that combines traditional chat capabilities with knowledge graph search and document retrieval.
AI generates a landing page with a waiting list in one click, SEO friendly.
A simple RAG toolkit.
Tejas savaliya'a Portfolio
The ultimate course selection platform for Cal State Fullerton Titans. Find, compare, and register for your perfect classes.
This chatbot is aimed at raising public awareness of scams, strengthening current anti-scam strategies, and improving the legal community's ability to protect the public and businesses from fraud
Advanced LLM with Query, SQL & CSV RAG : advanced LLM pipeline for querying SQL/CSV using LLM & RAG
ai pronunciation
基于 Next.js 的大模型交互知识引擎
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