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

YOLO

YOLO (You Only Look Once) is a state-of-the-art, real-time object detection algorithm that can quickly detect and locate objects within an image or video. The YOLO architecture works by taking an input and separating it into a grid of cells and each of these cells is in charge of detecting objects within that region. YOLO returns the bounding boxes containing all the objects in the image and predicts the probability of an object being in each of the boxes and also predicts a class probability to help identify the type of object it is. YOLO is a highly effective object detection algorithm and making YOLO and open-source project led the community to make several improvements in such a limited time.

General
Relese date2015
AuthorJoseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi
Paper(https://arxiv.org/abs/1506.02640)
TypeObject detection algorithm

YOLO - Resources

Learn even more about YOLO!

  • v7 Labs Blog "YOLO: Algorithm for Object Detection Explained".
  • YOLOv5 Repository Object detection architectures and models pretrained on the COCO dataset.
  • YOLOv6 Web demo Gradio demo for YOLOv6 for object detection on videos.
  • Hugging Face Spaces Test YOLOv7 in the browser with Hugging Face Spaces.
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YOLO AI Technologies Hackathon projects

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

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.

CAREN - AI-Powered Financial Crime Detection

CAREN - AI-Powered Financial Crime Detection

CAREN (Credit Analysis & Risk Evaluation Network) is a next-generation AI-powered transaction monitoring system designed to detect financial crimes in real-time while dramatically reducing false positives that overwhelm compliance teams. The system employs an ensemble of five machine learning models—XGBoost, Random Forest, Logistic Regression, K-Nearest Neighbors, and AdaBoost Decision Tree—trained on anonymized PCA-transformed transaction features (V1-V28). This architecture achieves 99.94% accuracy, 94.12% precision, and 81.63% recall, with an AUC-ROC of 98.21%. Key capabilities include: • Real-time fraud scoring with sub-50ms latency per transaction • Intelligent alert prioritization that turns thousands of weekly alerts into high-confidence cases • Multi-dimensional risk analysis combining velocity patterns, geographic anomalies, and amount deviations • Visual investigation dashboard with transaction timelines and evidence summaries • Configurable detection thresholds for different risk appetites The platform features a comprehensive dashboard for fraud analysts with live transaction monitoring, severity-based alert management, ML model performance analytics, and an AI-powered fraud analyzer that explains predictions using feature importance visualization. Built for scale, CAREN processes transactions in real-time and provides actionable intelligence that reduces investigation time from hours to minutes while maintaining the highest detection accuracy.

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.

Smart Traffic

Smart Traffic

The utilization of Artificial Intelligence (AI) technology has significantly transformed the landscape of traffic management, making it more efficient and responsive. AI-driven systems are capable of analysing vast amounts of data in real time, gathered from various sources such as cameras, sensors, GPS devices, and mobile applications. This real-time data processing helps in monitoring traffic flow, detecting congestion patterns, and predicting potential bottlenecks with remarkable accuracy. Moreover, AI algorithms optimise traffic signal timings, dynamically adjusting them based on current traffic conditions to minimise delays and reduce vehicle idling time. This leads to smoother traffic flow, decreased fuel consumption, and lower emissions, contributing to environmental sustainability. Additionally, AI enhances incident detection capabilities, enabling quicker response times for accidents or road obstructions, which helps in mitigating further disruptions. Furthermore, AI supports the development of intelligent transportation systems (ITS), integrating vehicle-to-infrastructure (V2I) communication for smarter navigation and improved road safety. Overall, AI technology is revolutionising traffic management, making urban mobility more efficient and safer.

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.