Applying Deep Learning Approaches to Volleyball Data

ChartScanAI is an advanced app for detecting patterns in stock and cryptocurrency charts using deep learning and YOLOv8. It automates chart pattern recognition, providing traders with a powerful tool for making informed decisions. Key features include real-time analysis, high accuracy for Buy/Sell signals, and support for various charts.

This project demonstrates real-time drone detection using YOLOv5 and OpenCV. It detects drones in real-time and displays a warning when a drone is detected inside or near a defined rectangle.

This is a tool for editors that automatically edits video game videos/clips pertaining to Fortnite, Apex Legends, Valorant, Call Of Duty, Overwatch, Minecraft, R6, PUBG, Destiny and Rocket League in order to make them into montages based off eliminations, knocks, wins, goals, or punches. It can also remove silent portions and add automatic captions

This project demonstrates waste detection using a YOLOv8, StreamLit and RoboFlow

Modular CLI pipeline for fine‑tuning RF‑DETR object detection models on custom datasets.

Object detection using Yolov5

It's a project to detect traffic cones and recognize the color of cones.

repo for versioning snippets that show how to use Roboflow APIs

Deep Learning Detector for High Precision Monitoring of Cell Encapsulation Statistics in Microfluidic Droplets

Synthetic data for object detection and segmentation

Real-time active shooter detection system using YOLOv11 for gun and pose recognition. Still under development and training. Designed for research and early-stage security applications.

A focus on aligning room elements for better flow and space utilization.

Revolutionize egg grading with our app. Utilizing cutting-edge computer vision, it automates grading and crack detection, boosting accuracy and reducing labor costs.

The Automated Attention Tracking and Reporting system is a sleek AI-driven dashboard that provides real-time monitoring and reporting of distraction levels during classes, meetings, or lectures. Utilizing advanced computer vision techniques to help educators and facilitators enhance focus and attention during sessions.

This project is an example of YOLOv8-based NIKE brand logo detection package. It could be easily expanded and retrained on different brands.

Surf crowd predictions

AI-powered environmental monitoring system for marine and terrestrial ecosystems using computer vision, real-time analysis, and FAIR data principles.

Mashup Roboflow Object Detection with OCR to read license plates.

A computer vision–powered smart self-checkout system that combines YOLOv11 for real-time product detection and Flask for a seamless, interactive billing interface — designed to revolutionize the retail experience.