Freelancers using OpenCV in Punjab
Freelancers using OpenCV in Punjab
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Syed Asad Iftikhar
Rawalpindi, Pakistan
AI Automation Engineer | n8n, Flutter & Voice AI Specialist.
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AI Automation Engineer | n8n, Flutter & Voice AI Specialist.
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I developed a real-time Air Drawing Application that uses Computer Vision to transform hand gestures into digital input. By utilizing a standard webcam, the app allows users to draw, erase, and select colors in mid-air without any physical contact with the screen. Key Technical Features: Hand Tracking: Integrated MediaPipe to track 21 specific hand landmarks with high precision and near-zero latency. Gesture Logic: Programmed custom state-switching—using a single index finger for "Drawing Mode" and a two-finger gesture for "Selection Mode" to navigate the UI. Real-time Rendering: Leveraged OpenCV for video processing and to create a dynamic, responsive canvas overlay. This project demonstrates my ability to build Human-Computer Interaction (HCI) tools and implement real-time AI solutions using Python.
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I engineered a high-performance, browser-based 3D experience that allows users to manipulate a system of 15,000+ particles using real-time hand gestures. This project explores the intersection of Web Graphics and Computer Vision, turning a standard webcam into a spatial controller. The Technical Challenge The main hurdle was achieving a "haptic" feel ensuring the particles reacted instantly and smoothly to physical movements without lag. This required mapping 2D webcam coordinates into a 3D coordinate system and calculating volumetric transformations on the fly. The Solution & Workflow High-Performance Rendering: Used Three.js and WebGL with additive blending and custom color mapping to render a massive particle count at a consistent 60 FPS. Real-time Inference: Integrated Google MediaPipe to track 21 3D landmarks per hand directly in the client-side browser, eliminating the need for a backend. Dynamic Math: Implemented custom lerping (Linear Interpolation) and gesture thresholds to create fluid movements, such as a "fist-clench" collapsing the particles into a sphere and an "open-palm" expanding them into a galaxy. The Results Created a fully immersive, zero-latency interface that demonstrates the power of the modern web for interactive AI applications.
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I built a custom AI Voice Agent for a service-based business to automate their appointment booking process. The system handles inbound/outbound calls, qualifies customers, and manages scheduling without any human intervention. The Technical Challenge The goal was to create a "robust" agent that could handle natural human speech patterns including stammers or mid-sentence changes while maintaining the conversational flow. I needed to bridge the gap between high-fidelity voice synthesis and real-time database management. The Solution & Workflow Voice & Logic: Integrated ElevenLabs for realistic vocal performance and Retell AI (or similar) for low-latency conversational handling. Automation Engine: Built complex workflows in n8n to process the data gathered during the call. Real-time Integration: The system automatically cross-references and updates Google Calendar, sending instant confirmations to both the client and the customer. The Results 100% Automation: Successfully moved the client from manual phone bookings to a fully autonomous system. Error Handling: Programmed the agent to stay on track even when users provide vague or self-correcting input.
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I developed Chezify, a high-performance mobile application tailored for a local fast-food restaurant. The goal was to bridge the gap between a traditional physical storefront and a modern digital presence by providing a seamless, branded ordering interface. The Technical Challenge The focus was on creating a Modular Architecture that allows the business to scale its menu effortlessly. I designed a library of reusable Flutter widgets (FoodCards, DealCards) that ensure UI consistency across the entire app while maintaining a strict 60 FPS performance target for a premium user experience. The Results Optimized Performance: Achieved silky-smooth scrolling and transitions, even with high-resolution imagery. Scalable Design: Built a custom UI/UX from scratch using Dart, avoiding generic templates to ensure brand uniqueness. Business Integration: Developed an "Exclusive Deals" logic to drive higher order values through targeted combo offers.
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15
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Arham Malik
Rawalpindi, Pakistan
Backend & AI engineer who ships systems fast and scale.
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Backend & AI engineer who ships systems fast and scale.
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Yeah, this one is a bit out there, but it was super fun. I built an AI that actually understands memes. It looks at the image and the text together using PyTorch, TensorFlow, and GPT 4. I used early and late fusion techniques to combine vision and language, plus Tesseract OCR to grab text from the image itself. The model hits over 95% accuracy on meme classification. It’s not your typical corporate project, but it shows how multimodal AI can understand humor, culture, and context. Definitely one of my favorite experiments. For more details, please visit: https://arham-nexus.vercel.app/work/memechecker
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This was a really cool EdTech project. The goal was to automate grading and student verification. I built a Flask backend that hooks into NLP models, speech to text, text to speech, and even computer vision with OpenCV. Students can give live demos, and the system checks their face, asks them questions out loud, and grades everything automatically. No more manual grading or worrying about cheating. It’s 100% automated, and teachers love how transparent it is. The AI responds in under a second, so it feels almost magical. For more details, please visit: https://arham-nexus.vercel.app/work/evaluasysai
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This is a classic enterprise academic portal, but built solid. It uses  Web Forms, ASP.NET, C#, and SQL Server. The main challenge was role based access control because you have admins, faculty, TAs, and lab demonstrators all needing different permissions. I designed a three tier architecture with stored procedures and optimistic concurrency control so data doesn’t get messed up when people edit at the same time. Over 200 users per semester use it for task assignments and progress tracking. It’s not flashy, but it works perfectly. For more details, please visit: https://arham-nexus.vercel.app/work/talabportal
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Skill Swap is a peer to peer learning platform where you can be both a student and a teacher. I built the backend with Java Spring Boot, real time chat with WebSockets, and video calls with WebRTC. The matching algorithm finds people based on skills, ratings, and availability. You can switch roles anytime. It also has a trust based review system so fake reviews don’t ruin it. This was an MVP, but it proved that real time learning communities can work really well. For more details, please visit: https://arham-nexus.vercel.app/work/skillswap
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21
OpenCV
(2)
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Mohammad Ali
Lahore, Pakistan
Full Stack Developer and AI Automation Developer
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Full Stack Developer and AI Automation Developer
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Lie Detector
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6
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Chic Dreams
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Tabsform
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1
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(1)
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Fariha Muazzam
Lahore, Pakistan
I build production-ready AI systems that actually ship
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I build production-ready AI systems that actually ship
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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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AI-based Video Generation Pipeline
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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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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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257
OpenCV
(1)
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Hammad Tahir
Lahore, Pakistan
AI Developer & ML Engineer: Top-notch Expertise
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AI Developer & ML Engineer: Top-notch Expertise
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Yolo v10 - Object Detection and tracking
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314
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Computer Vision - Detection and Segmentation with Yolo V9
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LLM Agents Cybersecurity workflow
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AI Agents workflow
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17
OpenCV
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Pervaiz Ahmad
Rawalpindi, Pakistan
AI & Deep Learning Engineer |Comp Vision, RAG, Agentic AI
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AI & Deep Learning Engineer |Comp Vision, RAG, Agentic AI
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Automated Traffic Control and Management System
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Advanced Face Recognition System for Enhanced Security
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AI-Driven Retail Store Automation System
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AI-Powered Line Art Poster Generator
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0
OpenCV
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Qamar Hafeez
Multan, Pakistan
Delivering the work with high attention to detail
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Delivering the work with high attention to detail
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Optical Mark Recognition
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7
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Contact Form Builder
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31
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Wordpress Website
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7
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Muhammad Mahen Mughal
Lahore, Pakistan
Revolutionizing Data with Machine Learning Mastery
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Revolutionizing Data with Machine Learning Mastery
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Self Driving Cars Lane Change Warning System
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3
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Prediction of Price and Generation of Description of Products
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Reinforcement Learning Optimization in Agriculture
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