Freelancers using FFmpeg in Lahore

Freelancers using FFmpeg in LahoreFreelancers using FFmpeg in Lahore

Projects People

Umar Abdullah

maxLahore, Pakistan

Top 1% Software Engineer on Contra | Chromium Browser Expert

$50k+: Earned

6x: Hired

5.0: Rating

46: Followers

Top 1% Software Engineer on Contra | Chromium Browser Expert

Match-Ups Browser: A Sports-Focused Multi-Streaming Browser

Full-Stack Developer | Chromium Expert | Chrome Extension

Chromium Expert | Custom AOL Chromium Browser Development

Chrome Extension Development (API + Supabase Backend)

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Muhammad Talha

Lahore, Pakistan

Full Stack Developer | AI & Automation

8: Followers

Full Stack Developer | AI & Automation

Cover image for VeoChain is an AI-powered video generation tool that overcom...

VeoChain is an AI-powered video generation tool that overcomes the typical 8-second limit of AI video models like Google's Gemini Veo 2.0. It intelligently chains multiple video segments together by analyzing each segment's ending and generating continuation prompts, creating seamless 24+ second videos from a single prompt. The app features browser-based video stitching using FFmpeg.wasm (no server uploads needed), a clean Attio-inspired UI built with Next.js and Framer Motion, and persistent project history with IndexedDB. Users simply enter their Gemini API key, write a prompt, and VeoChain handles the multi-segment generation, chaining, and final export automatically.

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I designed and built a full-stack AI healthcare platform from the ground up integrating 6 external medical APIs, real-time AI-powered consultations and a production-grade frontend with smooth animations. This is the kind of intelligent and scalable system I can build for you in healthcare, education or any data-driven domain. Live Demo: healix.vercel.app (http://healix.vercel.app) What Healix Does 4.6 billion people worldwide lack access to essential health services. Healix bridges that gap by putting an AI health companion in every citizen's pocket backed by trusted data from WHO, NIH and the FDA. It delivers 24/7 health guidance, reduces unnecessary ER visits and extends the reach of overstretched healthcare systems. Core Features I Built AI Health Chat - 24/7 intelligent consultations with multi-language support powered by Google Gemini Symptom Checker - Interactive symptom analysis with triage recommendations using NIH Clinical Tables Drug Interaction Checker - Cross-checks multiple medications for dangerous interactions via OpenFDA Medicine Search - Detailed drug profiles including side effects and usage guidelines from OpenFDA and RxNorm Health Dashboard - Personalized health overview with activity tracking and chronic disease management Additional modules include mental wellness tracking, nutrition logging, lab results management, vaccination records, appointment booking and a community health forum. Tech Stack Next.js 15 and React 19 frontend styled with TailwindCSS and animated with Framer Motion. Python FastAPI backend powered by Google Gemini AI with fallback handling. Integrated with OpenFDA, NIH Clinical Tables, PubMed, RxNorm and WHO data sources. Supabase authentication with Google OAuth. SQLite for development and PostgreSQL for production. Deployed on Vercel. What This Demonstrates Complex multi-API orchestration with error handling and fallback logic AI integration with prompt engineering for accurate medical responses Clean component architecture with 30+ routes and reusable UI components Full authentication flow with role-based access Responsive design optimized for mobile-first healthcare access Production deployment with real users in mind Looking to build an AI-powered platform for your industry? Whether it's healthcare, education, finance or operations I can architect and ship intelligent systems like this end to end. Let's talk.

High-Performance RAG Application Development

AI News Automation Bot

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Fariha Muazzam

Lahore, Pakistan

I build production-ready AI systems that actually ship

New to Contra

I build production-ready AI systems that actually ship

AI-based Video Generation Pipeline

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 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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