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Use the Moondream 2 model to detect faces and their gaze directions in videos.

Context based video seek and search

A powerful video summarization tool that utilizes Moondream alongside multiple AI models to provide comprehensive video understanding through audio transcription, intelligent frame selection, visual description, and content summarization.

Uses Video Intelligence to analyse and edit a video based on a given sentence.

Foundational framework for mission-critical surveillance, autonomous video intelligence, and situational awareness.

This tool uses Moondream 2B, a powerful yet lightweight vision-language model, to detect and redact objects from videos. Moondream can recognize a wide variety of objects, people, text, and more with high accuracy while being much smaller than most vision models.

Real-time AI agent for querying live courtroom video with sub-500ms latency. Multimodal search combining video intelligence, speech-to-text, and hybrid search. Built with Stream, Twelve Labs, Deepgram, and Gemini Live API.

Local-first video intelligence orchestrator using Intel OpenVINO, Tauri, gRPC, SQLite, and agentic AI routing.

UnReel is an AI-powered Video Intelligence engine built to decode the context of any short-form content. It is designed for users who encounter language barriers, missed situational context, or struggle to find resources mentioned in a video via a dedicated video analysis pipeline.

Multimodal video dossiers for agents: transcripts, frames, OCR, evidence, and RAG-ready knowledge.

BRI — empathetic video intelligence with production Streamlit, FastAPI MCP, SQLite durability, and multimodal ML tooling

The missing middle between raw video and reasoning models. Turn video into structured intelligence. Citable, queryable, AI-ready. CLI + MCP server. No Docker. No GPU.

Multimodal video intelligence platform that converts recorded conversations into transcripts, emotion insights, delivery analysis, reaction metadata, and conversation summaries using SpeechBrain, Wav2Vec2, PyTorch, and Streamlit.

Local-first AI-powered Video Intelligence Workbench for transcript generation, semantic search, evidence-grounded Q&A, multi-video comparison, FAISS retrieval, and research workflows.

Multimodal video-to-music recommender. Google Video Intelligence labels + real Spotify audio features (with librosa fallback) + Keras emotion classifier.

Universal video intelligence: turn any video + a prompt into a timestamped timeline, evidence-grounded findings, and structured reports — ready for AI agents.

This Multimodal AI Agent is a Streamlit application that uses Gemini 2.0 Flash to analyze video content alongside real-time web research. It enables users to upload videos and receive comprehensive, data-driven answers by synthesizing visual insights with live information from the internet.

Google Cloud Video Intelligence API makes videos searchable and discoverable by extracting metadata with an easy-to-use REST API. It enables annotation of videos stored in Google Cloud Storage with video-level, shot-level, and frame-level labels, object tracking, text detection, and explicit content detection.