Freelancers using OpenCV in Lahore

Freelancers using OpenCV in LahoreFreelancers using OpenCV in Lahore

Projects People

Lahore, Pakistan

AI Solutions & Automation for Your Business

AI Solutions & Automation for Your Business

Cover image for 👋 Hi, I'm Ahmad Yasin,

👋 Hi, I'm Ahmad Yasin, Founder & CEO of Nexariza AI — a global AI engineering and intelligent software company building AI agents, generative AI solutions, automation systems, computer vision applications, and custom SaaS products for businesses worldwide. In this short intro, I share who we are, what we do, and why we're passionate about helping businesses harness the power of AI to solve real problems. 🚀 What Nexariza AI does: ✅ Custom AI Agents & Automation ✅ Generative AI Solutions ✅ Computer Vision Systems ✅ Custom Software & SaaS Development 🌍 Work with us / Partner with us: 🔗 Website: https://nexariza.com (https://nexariza.com)📩 Email: contact@nexariza.com (mailto:contact@nexariza.com)💬 WhatsApp: +92 370 7348001 🔗 LinkedIn: linkedin.com/company/nexariza 🔗 All links: linktr.ee/nexariza_ai 📚 Also check out Nexariza Learning Hub for free AI, ML & programming tutorials — subscribe so you don't miss what's next! #NexarizaAI #AIAgency #ArtificialIntelligence #AIAutomation #FounderStory #TechEntrepreneur #AIAgents #GenerativeAI #SaaS #StartupJourney

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Cover image for Project Title: Embedded Linux Face

Project Title: Embedded Linux Face Recognition Security System — Dubai Client Category: Computer Vision · Edge AI · IoT Short Description: Production-grade 1:1 face verification system deployed on an industrial Linux PC in Dubai. Integrates SCRFD + AdaFace (ONNX Runtime) with ONVIF IP camera, Wiegand 48-bit access hardware, and GPIO alarm outputs. Supports 20,000-face offline database. Runs as a Linux daemon. Full offline deployment. Services Delivered: Computer Vision Engineering Embedded Linux Development Edge AI Deployment IoT Hardware Integration System Architecture Tech Stack: Python · SCRFD · AdaFace · ONNX Runtime · ONVIF · SQLite · Wiegand · GPIO · Ubuntu Linux Outcome: Live production system managing physical access control in Dubai. Client received a deployed, tested, auto-restarting daemon with full remote management capability. Links: nexariza.com (http://nexariza.com) | contact@nexariza.com (mailto:contact@nexariza.com)

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Cover image for Dill Plant Disease Detection

Dill Plant Disease Detection

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Cover image for Face + Fingerprint Door Unlock System

Face + Fingerprint Door Unlock System

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Lahore, Pakistan

AI Engineer and Machine Learning Expert

New to Contra

AI Engineer and Machine Learning Expert

Cover image for The system continuously monitors examination

The system continuously monitors examination halls through live camera feeds, analyzes student behavior, and flags suspicious activities such as mobile phone usage, abnormal head movements, gaze deviation, multiple faces, and unauthorized interactions.

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Cover image for AI Surveillance & Activity Recognition

AI Surveillance & Activity Recognition System Built a real-time AI-powered surveillance platform for intelligent monitoring, object detection, and security analytics. The system leverages deep learning and computer vision to detect people, vehicles, unattended objects, and suspicious activities across multiple camera streams. Key Features Real-time person, vehicle, and object detection Automatic Number Plate Recognition (ANPR) Facial recognition and identity verification Multi-object tracking using ByteTrack Unattended baggage and boundary breach detection Crowd monitoring and suspicious activity recognition Real-time alerts and monitoring dashboard Optimized for high-performance GPU deployment

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Cover image for Urdu News AI Summarization &

Urdu News AI Summarization & Search System Designed and developed an end-to-end AI platform for processing Urdu news from television broadcasts and digital media. The system automatically transcribes speech, extracts text from news tickers, generates concise summaries, and enables intelligent semantic search across large collections of Urdu news content.

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Cover image for AI Chatbot with RAG &

AI Chatbot with RAG & Multi-Agent System

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Lahore, Pakistan

AI Developer & ML Engineer: Top-notch Expertise

AI Developer & ML Engineer: Top-notch Expertise

Cover image for Yolo v10 - Object Detection and tracking

Yolo v10 - Object Detection and tracking

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Cover image for Computer Vision - Detection and Segmentation with Yolo V9

Computer Vision - Detection and Segmentation with Yolo V9

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Cover image for LLM Agents Cybersecurity workflow

LLM Agents Cybersecurity workflow

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Cover image for AI Agents workflow

AI Agents workflow

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Lahore, Pakistan

I build production-ready AI systems that actually ship

I build production-ready AI systems that actually ship

Cover image for Satellite imagery is the ultimate

Satellite imagery is the ultimate stress test for Computer Vision. It is not just about detection; it is about architecting precision across massive, high-resolution datasets where every pixel counts. I have been building AI pipeline to segment parking lots, walkways, and structures from aerial data. The challenge is not just the mode, it is the Infrastructure: - Tiling & Inference: Processing massive dimensions without losing small-object context. - Robust Pre-processing: Using OpenCV to handle varying lighting and atmospheric "noise." - Cloud Orchestration: Turning heavy segmentation models into responsive, scale-ready tools. It is about turning raw pixels into a reliable data layer for the business. Currently opening 20 hours/week for long-term partnerships in Computer Vision & AI Systems.

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Cover image for AI-based Video Generation Pipeline

AI-based Video Generation Pipeline

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Cover image for I designed and delivered an

I designed and delivered an end-to-end MVP for a real-time AI talking avatar system, where live browser speech is converted into an AI-generated response and rendered through a lip-synced avatar video on GPU hardware. The objective was to validate technical feasibility, latency characteristics, and perceived real-time interaction before committing to production hardening. The system integrates speech-to-text, LLM-based reasoning, text-to-speech, and video synthesis into a single, runnable pipeline, deployed on an A100 GPU.

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Cover image for At Formulatrix, I led the

At Formulatrix, I led the development of a computer vision pipeline for RockMaker, a biotech product used in crystallization experiments. I built and deployed object detection and image classification models that improved scoring accuracy by 13%, reducing manual effort for scientists and increasing customer satisfaction. The solution was productionized with Docker and CI/CD pipelines, ensuring scalability and reliability across client sites.

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Lahore, Pakistan

Full Stack Developer and AI Automation Developer

Full Stack Developer and AI Automation Developer

Cover image for Lie Detector

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Cover image for Chic Dreams

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Cover image for Tabsform

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Lahore, Pakistan

AI Engineer building AI agents, LLM apps, RAG systems

New to Contra

AI Engineer building AI agents, LLM apps, RAG systems

Cover image for Developed an AI-powered KYC verification

Developed an AI-powered KYC verification feature that compares a user's National ID/CNIC photo with their selfie using facial embeddings. The system detects and processes both images, generates face embeddings, compares facial similarity, and automatically determines whether the identity match meets the verification criteria.

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Cover image for Developed a custom AI assistant

Developed a custom AI assistant integrated with Telegram using the OpenAI SDK. The agent was connected to private business data and designed to provide context-aware, personalized responses through a simple Telegram chat interface. The solution focused on private knowledge integration, custom AI behavior, and automated conversational assistance.

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Cover image for AI Organization & Business Automation
We

AI Organization & Business Automation We developed and tested a complete AI-powered business organization designed to automate customer communication, sales, operations, marketing, and business management. The system uses multiple specialized AI agents coordinated through a central Chief of Staff AI. The workflow can handle customer conversations, qualify leads, manage CRM records, schedule meetings, generate Google Meet links, understand voice messages, and escalate important matters to the business owner. The core AI platform has already been built and tested successfully. The remaining phase focuses mainly on official API integrations, production infrastructure, security, and deployment to make the system reliable and scalable for real-world business operations.

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Cover image for A Python pipeline that reads

A Python pipeline that reads incoming payment documents PDFs, scans, spreadsheets, even phone photos and turns them into database-ready JSON for a logistics company's accounting system. The hard part wasn't extraction, it was trust. In accounting, a wrong number is worse than no number, so the pipeline never guesses: anything ambiguous comes back as null with a note, and every run reconciles sums and counts to the exact cent before it returns anything.

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Muhammad Mahen Mughal

Lahore, Pakistan

Revolutionizing Data with Machine Learning Mastery

Revolutionizing Data with Machine Learning Mastery

Cover image for Self Driving Cars Lane Change Warning System

Self Driving Cars Lane Change Warning System

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Cover image for Prediction of Price and Generation of Description of Products

Prediction of Price and Generation of Description of Products

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Cover image for Reinforcement Learning Optimization in Agriculture

Reinforcement Learning Optimization in Agriculture

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Lahore, Pakistan

AI Engineer | Machine Learning Developer

New to Contra

AI Engineer | Machine Learning Developer

Cover image for An end-to-end OCR pipeline combining

An end-to-end OCR pipeline combining YOLOv11s for real-time document region detection with EasyOCR for multilingual text extraction from scanned documents and images.

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Cover image for A real-time multi-object detection and

A real-time multi-object detection and tracking system built with YOLOv8. It detects objects in video streams and assigns persistent IDs across frames, enabling real-time tracking for surveillance and motion analysis.

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Cover image for A face recognition system that

A face recognition system that identifies and verifies individuals from images and live video streams using deep learning-based facial embeddings and similarity matching.

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Cover image for A real-time facial landmark detection

A real-time facial landmark detection system built with OpenCV and MediaPipe. It tracks 468 facial landmarks from live video, enabling applications such as facial analysis, eye tracking, expression analysis, and AR overlays.

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