Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

YOLO v8

Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.

What's new in YOLOv8?

YOLOv8 supports a full range of vision AI tasks, including detection, segmentation, pose estimation, tracking, and classification. This versatility allows users to leverage YOLOv8's capabilities across diverse applications and domains.

General
Relese dateMay, 2023
Repositoryhttps://github.com/ultralytics/ultralytics
TypeReal time object detection

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YOLO YOLOv8 AI technology Hackathon projects

Discover innovative solutions crafted with YOLO YOLOv8 AI technology, developed by our community members during our engaging hackathons.

NeuroPilot

NeuroPilot

People who could benefit from hands-free control, for example those with limited mobility, often cannot access it. NeuroPilot changes that: open-source BCI middleware that turns a Muse 2 headband into a real control interface. Muse 2 is already connected to the app, and we have a working integration with DJI Tello. Users train in a 3D simulation and in a training environment; when their brainwave pattern matches a chosen action (move left, right, up, down), the backend fires configurable webhooks or WebSockets. We accumulate 5 actions from the headband; YOLOv8 runs on the Tello camera feed to detect obstacles and Tello state. That batch and the vision data are sent to Gemini, which decides the movement. Every command sent to the DJI Tello is the result of an AI API call, so BCI intent is refined by vision and reasoning before it reaches the drone. The stack is software-only and simulation-first: a Next.js frontend, a FastAPI + WebSocket backend, a web Lab (Three.js), a machine/Connect dashboard for status and live feedback, and per-control webhook URLs. No lab hardware or locked-in vendors. Teams can integrate with existing sims, digital twins, or robots via HTTP.

RIFFAI

RIFFAI

RIFFAI’s hackathon prototype demonstrates an end-to-end pipeline for energy site intelligence. The prototype ingests multi-source satellite imagery (Google Earth Engine + direct providers), weather feeds and customer training sets; applies an ultra-fast image/geo-metadata alignment pipeline; runs geospatial segmentation (U-Net/CNN) and time-series forecasting (LSTM); and produces explainable suitability scores and a ranked list of candidate polygons for renewable energy deployment. A minimal React web UI or API visualizes results and emits a sample monitoring alert (thermal anomaly or vegetation/water change). The goal is to show that fast metadata processing + energy-tuned models produce practical, developer-ready outputs in near-real time. We’ll provide domain guidance, sample tiles and a small labeled set for teams that request it.

Manetho

Manetho

Manetho is a global AI platform dedicated to digitizing museums, protecting cultural heritage, and transforming how people experience ancient civilizations. The platform uses artificial intelligence to bridge the gap between historical artifacts and modern audiences by making cultural knowledge accessible, understandable, and engaging. At its core, Manetho enables real-time interpretation of ancient scripts-starting with hieroglyphics-and expands into multi-civilization heritage digitization, including Egyptian, Greek, Babylonian, and other foundational cultures. Through advanced image analysis and language understanding, Manetho allows artifacts, inscriptions, and historical objects to be explored in meaningful context rather than remaining static displays. Beyond translation, Manetho elevates the museum experience through immersive storytelling, educational layers, and culturally intelligent interactions designed for visitors, researchers, and institutions alike. The platform supports museums in preserving fragile heritage digitally while offering visitors a richer, more informed journey through history. By combining cultural intelligence with AI-driven tools, Manetho positions itself as a timeless bridge between the past and the future-ensuring that the world’s greatest civilizations remain alive, accessible, and relevant for generations to come.

AI Safety Compliance Sentinel

AI Safety Compliance Sentinel

AI Safety Compliance Sentinel is an intelligent, real-time safety monitoring system that combines computer vision, machine learning, and agentic automation to transform how workplaces ensure compliance. Using a simple webcam feed, the system detects critical safety violations such as missing helmets, masks, gloves, restricted-zone intrusions, unsafe behaviors, and early hazard indicators like sparks or smoke. When a violation occurs, a multi-agent workflow built with IBM Watsonx Orchestrate automatically triggers alerts, creates incident tickets, stores evidence, logs violations, and generates compliance reports—without any human intervention.By eliminating manual monitoring and enabling instant, automated response, the solution improves safety, reduces accidents, lowers operational costs, and delivers a scalable, intelligent compliance framework suitable for factories, construction sites, warehouses, hospitals, and laboratories. This project demonstrates the true power of Agentic AI in creating safer, smarter, and more efficient work environments.

ECO-SYNK

ECO-SYNK

ECO-SYNK transforms environmental action in the UAE and GCC by merging AI technology with social engagement to combat urban waste. Traditional reporting methods are fragmented and inefficient, leaving communities disconnected from solutions. Our platform bridges this gap through instant AI-powered waste detection and community mobilization. When users spot trash, they simply snap a photo using our app. Custom-trained YOLOv8 AI instantly identifies and categorizes waste with 85%+ accuracy while geotagging each item. This creates real-time heat maps of pollution hotspots, transforming isolated observations into actionable community intelligence. But detection is only the beginning. ECO-SYNK's social engine turns reports into action by enabling users to rally friends and neighbors for cleanups. Gamification features—Eco-Points, achievements, and leaderboards—tap into social motivation, making sustainability engaging and rewarding. Local businesses sponsor cleanups and offer rewards, creating a virtuous cycle of community participation. Designed for eco-conscious youth (18-30) in GCC markets, our bilingual platform leverages high smartphone penetration and social connectivity to drive environmental stewardship. The hybrid AI architecture combines local processing for instant detection with cloud analysis for enhanced insights, ensuring 98% cost reduction compared to traditional solutions. ECO-SYNK goes beyond cleanup coordination to include crowdfunding for recycling bins, corporate sustainability partnerships, and municipal data services. Each action generates verifiable impact metrics, giving users tangible proof of their environmental contribution. We're building a future where sustainability becomes social, visible, and rewarding—transforming "someone else's problem" into collective achievement.

VisioMate

VisioMate

Are you visually impaired? Do you feel left out? Do you find it difficult to navigate? Do you always have to wait for someone to help you? Do you feel sad when you bump into something and people laugh at you? When you’re crossing the road and see a car coming toward you, you can instantly estimate how far away it is. This quick, almost instinctual judgment comes from your spatial understanding of the surroundings. Based on this sense, you can decide whether to speed up, stop, or keep walking. VisioMate, powered by computer vision, works in a similar way to help visually impaired people navigate obstacles. It captures objects in real time and guides users by telling them what is in front of them.