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NEXUS is an AI search engine-like agent that generates capstone thesis titles across various fields of application. Each generated title is accompanied by related literature sourced from Google Scholar, utilizing the Retrieval-Augmented Generation (RAG) technique.
🎓 A PhD-level guided journey into Artificial Intelligence. From Prompt Engineering to RAG & Autonomous Agents. from basics to advance step by step guid for begginers
Welcome to the Multi-Page RAG Model App! This app allows you to interact with different types of data using Retrieval-Augmented Generation (RAG) models
LangChainRunnables is a Python-based project showcasing and learing five distinct LangChain workflows—Branch, Lambda, Parallel, Passthrough, and Sequence—using OpenRouter’s free API. It demonstrates AIdriven text processing tasks generating facts, summarizing reports, creating notes and quizzes, responding to sentiment feedback, and crafting jokes
TranslodeP2C is an AI-powered pseudocode-to-C++ transformer, built with a seq2seq model. It preprocesses structured pseudocode, trains on paired datasets, and generates efficient C++ code. With an intuitive Streamlit UI, TranslodeP2C enables seamless and intelligent code synthesis from natural language descriptions. 🚀
The code includes an iterative editing process for automatic control and instance-based boundary generation, enabling controlled attribute modifications in generated faces.
Welcome to PDF-Conv, a Streamlit-based application that allows you to upload multiple PDF files and interact with them through a conversational interface. 🚀
This project demonstrates the power of LangChain by implementing four distinct workflows—simple, sequential, parallel, and conditional chains—using OpenRouter’s DeepSeek model. It processes text inputs to generate facts, summaries, notes, quizzes, and sentiment-based responses and more.
An AI-driven Talking Manager: a voice-interactive chatbot designed to streamline project management by capturing team updates, tracking progress, and providing real-time insights. Leveraging advanced natural language processing, it enhances collaboration and ensures efficient project tracking, allowing teams to stay aligned and informed.
This repository is a hands-on implementation of Generative AI: LangChain Models, Build, and Explore LLM-Models. It showcases the core fundamentals of LangChain, OpenAI/Gemini integrations, and Hugging Face models.
A Python-based system for generating synthetic tax law cases to evaluate GenAI reasoning capabilities, based on the MuSR (Multistep Soft Reasoning) framework.
This is genrative artificial intelligent without any api of openai or google gemini it is made from scratch to test and learn the artificial intelligence from scratch
🎮AI-powered educational game generator built with FastAPI and Google Gemini that creates fully playable, self-contained HTML games from simple user prompts.
AI-powered multimedia automation agent using LangChain, Ollama, Streamlit, and yt-dlp to download, process, and analyze videos from 1000+ platforms with real-time analytics.