Aaryan Aggarwal - Labellerr AI

Aaryan Aggarwal

Qwen 3.8: Alibaba's Next-Gen Multimodal AI

Qwen 3.8: Alibaba's Next-Gen Multimodal AI

Discover everything about Qwen 3.8, Alibaba Cloud's latest 2.4 trillion-parameter multimodal AI model. Explore its architecture, features, capabilities, enterprise use cases, pricing, limitations, and how it compares with today's leading frontier AI models.

ChatGPT Work: OpenAI's Ultimate Autonomous Workspace Agent

Explore the ultimate comparison between ChatGPT Work and Claude Cowork. Discover how OpenAI's cloud-native artifact factory competes against Anthropic's desktop-first file operator. Learn which autonomous AI agent is best for your team's workflow, integrations, and budget.

Meta Muse Spark 1.1

Meta Muse Spark 1.1: The Future of Agentic AI and Coding

Learn how to integrate Muse Spark 1.1 using the Meta Model API. Switch your current OpenAI or Anthropic SDK setups with a single line of code to easily deploy multimodal inputs, code generation, and stateful agentic workflows that preserve thinking blocks across turns.

Google Gemini Omni Flash

Google Gemini Omni Flash 2026: The Future of AI Video Editing

Discover Google's Gemini Omni Flash, a multimodal AI model that lets you generate and edit video conversationally. Learn about its unified architecture, API, and how it transforms video production.

AI Yoga Pose Classifier & Posture Tracking

Keypoint Annotation

AI Yoga Pose Classifier & Posture Tracking

Learn how to build a real-time AI yoga pose classifier using a custom YOLO11-Pose model trained on Labellerr data. Explore how trigonometric joint calculations, custom safeguards, and frame-accurate HUD overlays transform a standard video stream into an automated computer vision coach.

AI Powered Pushup Counter

computer vision

AI Powered Pushup Counter & Form Corrector

Learn to build an AI personal trainer using a custom YOLO11 pose estimation pipeline. Labeled on Labellerr, this project uses real-time computer vision and joint trigonometry to count pushup reps, check hip angles, and provide instant form correction feedback.

Real-Time Focus and Distraction Monitoring AI

Real-Time Focus and Distraction Monitoring AI

Learn to build an egocentric workspace assistant using a custom computer vision pipeline. By combining custom YOLO instance segmentation on Labellerr with a smart state machine, this project tracks hand-object proximity in real time to calculate a reliable daily focus percentage score.

AI Powered Hand Gesture Controller

computer vision

AI Powered Hand Gesture Controller

Learn to build a zero-latency hand gesture controller using a custom deep learning pipeline. By training a domain-specific model labeled on Labellerr, this project delivers cinematic cursor smoothing, precise clicking, and responsive, touchless system automation.

Automated Inventory Tracking with YOLO

computer vision

Automated Inventory Tracking with YOLO

Discover how we automated industrial counting using YOLOv11 and instance segmentation. This project eliminates manual inventory errors with a smart directional tripwire system, providing pixel-perfect tracking and real-time data for modern warehouses.

AI Surgery Detection

computer vision

AI Powered Surgery Detection

Stop surgical errors with AI. This project uses YOLO11 and Labellerr to track bone surgery tools in real-time. By automating the instrument count and monitoring surgical workflows, we ensure no tool is left behind, making every operation safer and more efficient for patients and doctors.

AI Powered Patient Fall Detection

computer vision

AI Powered Patient Fall Detection

Protect high-risk patients with AI. This project uses YOLO11 and custom geofencing to monitor bed-rest safety in real-time. By tracking the patient’s center of mass, the system detects falls instantly, sending life-saving alerts to medical staff the moment a patient leaves their safe zone.

AI Smart Store Analysis

computer vision

AI Smart Store Analysis

Learn how AI is fixing long grocery lines. This project uses YOLO11 to track customers and count items in real-time. By measuring checkout speed and item throughput, this smart monitor helps stores run faster and improves the shopping experience for everyone.

AI Smart Waste Classifier

Waste Segmentation

AI Smart Waste Classifier

Discover how AI is solving the global trash crisis. This project uses YOLOv11 and Labellerr to build a Smart Waste Classifier that identifies bottles, bags, and paper with pixel-perfect accuracy. Learn how instance segmentation is making automated, real-time recycling a reality.

AI Electronics Detection System

computer vision

AI Electronics Detection System

Explore how the Raspberry Pi Component Tracker uses YOLOv11 and Instance Segmentation to identify hardware in real-time. This AI system eliminates messy boxes to provide pixel-perfect masks for factory inspection, e-waste recycling, and interactive hardware education.

AI Mask Detection System

AI Mask Detection System

Discover how the Smart Face Mask Tracker uses YOLOv11 and persistent sticky logic to solve AI flickering. Learn how this real-time computer vision system ensures accurate, automated safety compliance for hospitals, factories, and public spaces.

Multi Lane Fruit Counting AI

computer vision

AI Conveyor Belt Counter: Real-Time Dual-Lane Monitoring

Learn how to build a high-precision dual-lane conveyor counter using YOLO11 and ByteTrack. This guide covers how to eliminate manual counting errors, implement spatial partitioning, and use trigger-zone logic to achieve 100% accuracy in high-speed industrial environments.

Smart City AI Analysis

computer vision

Smart City Infrastructure Analysis using AI

Discover how AI and drones are revolutionizing urban planning. Using YOLO 11, we transform raw aerial footage into high-definition maps to track green zone compliance and build sustainable smart cities. See how automated mapping is shaping a greener future for urban development.

AI-Powered Deadlift Form Analyser

AI-Powered Deadlift Form Analyser

Learn how to build an AI-powered deadlift analysis system using YOLO and computer vision. This guide covers tracking bar paths and biometric "power triangles" to provide real-time, data-driven feedback that prevents injury and optimizes lifting performance through technical precision.

AI Traffic Analysis

computer vision

AI Traffic Analysis: Speed Tracking & Heatmaps using YOLO

Discover how to transform standard traffic cameras into intelligent sensors using YOLO AI. This guide explains how to track vehicle speeds in real-time and build dynamic, velocity-weighted heatmaps to identify and solve urban congestion.

Converting Sports Videos into 2D Tactical Maps with AI

Converting Sports Videos into 2D Tactical Maps with AI

Learn how to transform standard sports footage into a professional 2D tactical map. Using YOLO11 and Planar Homography, this project solves perspective distortion to provide real-time player tracking and spatial analytics for coaches and fans.

AI Powered ADAS

Building a Real-Time Schematic ADAS with YOLO11x

Learn how to build a 4K vision-based ADAS using YOLO11. This guide explains how to track lanes in real time and provide instant safety alerts to help drivers stay in their lanes.

AI Fire Alert System

Building an AI Fire Alert System with YOLOv8 and FastAPI

Stop fire disasters before they escalate. This guide explores building an AI Fire Alert System using YOLOv8 and FastAPI. Learn how to turn passive CCTV into an active guardian that verifies threats in real-time and triggers automated emergency calls and SMS.

Access Claude Cowork for FREE: Run Agents on Windows & Linux

Access Claude Cowork for FREE: Run Agents on Windows & Linux

Access Claude Cowork for FREE? The $285B Crash and the Rise of Open-Source Agents. Explore how Claude Cowork's 11 new plugins triggered a $285B market crash and learn how to bypass the $100/mo fee using Eigent AI, the free, cross-platform alternative for Windows, Linux, and Mac users.

AI Figure Skating Analysis

computer vision

Build an Olympic Skating Sports Analytics System using AI

Automate Olympic-grade technical calling with AI. This guide shows how to use YOLO11, MediaPipe, and LSTMs to track figure skaters in real-time, classifying complex jumps like Axels and Lutzes with mathematical precision. Replace human error with data-driven sports analytics.

Building an AI Pull-Up Counter with YOLO11 Pose Estimation

computer vision

Building an AI Pull-Up Counter with YOLO11 Pose Estimation

Manual rep counting is flawed. This guide explores building a cheat-proof AI Pull-Up Counter using Python and YOLO11 Pose Estimation. Learn to track skeletal joints in real-time, enforce strict form with "Angle Logic," and build an automated digital spotter that guarantees every rep counts.