This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

Hub for researchers exploring VLMs and Multimodal Learning:)

Learn how multimodal AI merges text, image, and audio for smarter models

A web app that dynamically generates playable 'Spot the Difference' games from a single text prompt using a multimodal pipeline with Google's Gemini and Imagen models.

Neocortex Unity SDK for Smart NPCs and Virtual Assistants

Enterprise-ready solution leveraging multimodal Generative AI (Gen AI) to enhance existing or new applications beyond text—implementing RAG, image classification, video analysis, and advanced image embeddings.

A demo multimodal AI chat application built with Streamlit and Google's Gemini model. Features include: secure Google OAuth, persistent data storage with Cloud SQL (PostgreSQL), and intelligent function calling. Includes a persona-based newsletter engine to deliver personalized insights.

AI-powered tool to turn long videos into short, viral-ready clips. Combines transcription, speaker diarization, scene detection & 9:16 resizing — perfect for creators & smart automation.

ICML 2025 Papers: Dive into cutting-edge research from the premier machine learning conference. Stay current with breakthroughs in deep learning, generative AI, optimization, reinforcement learning, and beyond. Code implementations included. ⭐ support the future of machine learning research!

🎭 Real-time voice-controlled 3D avatar with multimodal AI - speak naturally and watch your AI companion respond with perfect lip-sync

This is a fully autonomous, self-operating computer automation system designed to automate tasks on Windows without any user interaction. It runs scheduled or trigger-based workflows using Python, system tools, and smart agents — ideal for repetitive tasks, bots, or self-executing pipelines.

#3 Winner of Best Use of Zoom API at Stanford TreeHacks 2025! An AI-powered meeting assistant that captures video, audio and textual context from Zoom calls using multimodal RAG.

VLDBench: A large-scale benchmark for evaluating Vision-Language Models (VLMs) and Large Language Models (LLMs) on multimodal disinformation detection.

Mai is an emotionally intelligent, voice-enabled AI assistant built with FastAPI, Together.ai LLMs, memory persistence via ChromaDB, and real-time sentiment analysis. Designed to feel alive, empathetic, and human-like, Mai blends the charm of a flirty cyberpunk companion with the power of modern multimodal AI.

Leveraging Bayesian Neural Networks for multimodal AUV data fusion, enabling precise and uncertainty-aware mapping of underwater environments.

AI Framework for Remote Sensing Image Analysis using RAG - 88%+ accuracy, multi-modal queries, ChatGPT-like interface

A hands-on collection of experimental AI mini-projects exploring large language models, multimodal reasoning, retrieval-augmented generation (RAG), reinforcement learning, and real-world applications in finance, eKYC, and voice interfaces.

🤖 Production-ready samples for building multi-modal AI agents that understand images, documents, videos, and text using Amazon Bedrock and Strands Agents. Features Claude integration, MCP tools, streaming responses, and enterprise-grade architecture.

Generative AI (Gen AI) is a branch of artificial intelligence that creates new content such as text, images, audio, or code using models like GPT or Gemini. It powers applications like AI chatbots, image generation tools, and creative assistants across various industries.

OllamaMulti-RAG 🚀 is a multimodal AI chat app combining Whisper AI for audio, LLaVA for images, and Chroma DB for PDFs, enhanced with Ollama and OpenAI API. 📄 Built for AI enthusiasts, it welcomes contributions—features, bug fixes, or optimizations—to advance practical multimodal AI research and development collaboratively.