Browse applications built on YOLO YOLOv8 technology. Explore PoC and MVP applications created by our community and discover innovative use cases for YOLO YOLOv8 technology.
Short Description VigiAI is an intelligent traffic monitoring system that detects and classifies accidents in video footage from surveillance cameras
An autonomous C4ISR security dashboard that fuses local edge-compute tripwires with cloud-based Vision-Language Models (Qwen2-VL on AMD ROCm) for anomaly detection and incident reporting.
CaptionForge AI is a production-ready multimodal video captioning agent that analyzes video, speech, OCR text, scene transitions, and temporal context to generate accurate captions in formal, sarcastic, humorous-tech, and humorous-non-tech styles.
An AI assistant for visually impaired people that uses a camera and voice guidance to help them navigate by detecting obstacles and describing the surroundings in real time
AI-powered emergency first aid assistant that analyzes text, audio or video to assess emergencies, provides realtime first aid guidance in text or voice & automatically alerts emergency contacts, hospitals and ambulances with GPS location case summary.
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
AI powered self hosted SMD soldering defect detection
Generate engaging video captions with AI. Upload a video or paste a URL, and the app analyzes visual content to create multiple caption styles including neutral, formal, sarcastic, humorous, and tech-focused for social media creators.
TriForge is a hybrid AI routing agent that dynamically selects between local models and Fireworks AI using semantic intent classification, self-consistency, and Verify-Draft verification to optimize token usage, latency, and response quality.
Local desktop AI agent that sees your screen with YOLOv10, reasons with a local LLM, and controls mouse/keyboard to complete tasks — all inference running on AMD GPUs via ROCm, with zero cloud API calls.
EchoMind is an AI-powered visual memory assistant that uses YOLO object detection and a conversational LLM to help you instantly recall where you last saw any object.
TwinCare AI is an AI-powered health intelligence platform that transforms blood reports into a living Digital Twin,and offers a health copilot grounded in your data - with the potential to become a one-stop app for all your health needs.
Every football team deserves professional analysis. Scout AI transforms a single smartphone recording into computer vision powered player tracking, match analytics, heatmaps, passing networks, and AI tactical reports in minutes.
An affordable wearable that turns a phone's camera into directional belt buzzes, guiding blind and low-vision users around obstacles fully on-device with no internet, at a fraction of the cost of the smart canes and glasses people are priced out of.
1000+ data center racks are built every week and are assembled at volume by labor crews which is slow and error-prone. We built a real-time AI-powered server rack inspection and procedure tool that assists technicians building server racks with accuracy.
OBSERVA is an offline-first, on-device Android assistant for blind and low-vision users that provides real-time hazard-aware guidance, scene understanding and accessibility feedback using private edge AI without sending camera data to the cloud.
A production-grade Multi-Agent System (MAS) that gives visually impaired users real-time spatial awareness, object memory, and voice-guided navigation — powered by computer vision, monocular depth estimation, and LLM-driven agent negotiation.
Enterprise-grade, multi-agent QA system for Non-Destructive Testing - radiography films, powered by YOLO/RT-DETR, coordinated via Band.ai, automates defect detection, verifies compliance,enforces HITL safety sign-off for high-stakes industrial workflows.
An AI-powered system detecting wheat leaf rust via drone imagery, integrated with an Android app and multi-agent backend orchestration for real-time field insights.
*An integrated digital health surveillance system that connects a mobile AI parasite detection app (DAP) with a live web-based epidemiological monitoring platform, featuring real-time statistics, interactive maps, and smart outbreak alerts
An advanced AI-powered computer vision system connected directly to live surveillance camera feeds to detect armed suspects and firearms in real-time.
Context-aware Retrieval-Augmented Generation (RAG) using Google Gemini to ingest multimodal documents, extract figures/tables, and generate professional, explainable reports via orchestrated agents.
SafeSite AI turns existing construction CCTV into a 24/7 safety inspector. It spots missing PPE, verifies every potential violation, and alerts supervisors only when danger is confirmed, citing the exact OSHA regulation, preventing any panic ever occurs.
BELTO is an SDK that lets satellites decide what to send home. Four lines of code give a satellite onboard scene classification, rule-based triage, and adaptive compression — so only mission-relevant frames consume bandwidth.
AI safety inspector for worksites. Upload construction footage, auto-detect PPE violations with YOLO, browse timestamped evidence frames, and ask natural-language questions about inspection results. Powered by Qwen on AMD GPU cloud.
A mobile AI solution for rapid offline parasite detection (Leishmania/Malaria) with real-time epidemiological mapping for health authorities
A real-time AI assistive system that detects objects and reads text to help low-vision users understand their surroundings, optimized with ONNX Runtime for efficient deployment on AMD-powered edge devices.
ALONDA is an AI proctoring system for detecting exam malpractice. It uses MediaPipe for pose estimation and a Multi-layer LSTM network to perform temporal posture analysis, accurately classifying cheating behaviors like sharing answers.
Decode latent tactical intent from broadcast positions using causal GNNs, detect opponent deviations in real-time, and generate LLM coaching alerts all on AMD MI300X.
A multimodal AI system that analyzes UEFA Champions League match footage using YOLO + Qwen3-VL 32B on AMD MI300X to detect tactical signals that sports prediction markets misprice.