Freelancers using MongoDB in Faisalabad

Freelancers using MongoDB in FaisalabadFreelancers using MongoDB in Faisalabad

Projects People

Faisalabad, Pakistan

Full Stack Developer, Frontend & Backend Engineer

5.0: Rating

3: Followers

Full Stack Developer, Frontend & Backend Engineer

Cover image for MERN Stack-based SaaS Inventory Management

MERN Stack-based SaaS Inventory Management System using React.js, Node.js, and MongoDB Build a comprehensive SaaS inventory management solution specifically designed for salvage yards and auto parts businesses. Built on the robust MERN stack, this powerful web-based software maximizes operational efficiency, inventory accuracy, and sales tracking. The platform features an intuitive interface that simplifies complex part tracking, VIN decoding, and custom search functionalities. Integrated advanced invoicing capabilities, allowing users to effortlessly compile multiple parts into single invoices for seamless printing, emailing, or SMS texting, ensuring accurate billing.

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Cover image for MERN Stack Development | Grobot

MERN Stack Development | Grobot Help Center | Web Application I developed a custom, high-speed Help Center and Knowledge Base for Grobot Labs. The goal was to create a seamless user experience where customers could easily navigate 100+ articles, find troubleshooting steps, and access AI-related resources.

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Cover image for AI Consulting Platform in MERN

AI Consulting Platform in MERN Stack | React | Next | Node Developed a highly responsive, enterprise-grade B2B platform for Quantum Sync, a premier IT consulting and technology services firm. Engineered a clean, corporate UI utilizing the MERN stack to showcase their extensive service offerings, industry expertise, and strategic partnerships with tech giants like Microsoft and IBM. Architected a scalable frontend using React to ensure fast loading times and intuitive navigation. Optimized the entire platform for technical SEO, strengthening their digital authority and streamlining corporate client inquiries for enterprise tech solutions.

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Cover image for Full Stack Development | Security

Full Stack Development | Security Services Website | WordPress Developed a professional WordPress website for Fortress Protection Services, focusing on modern design, performance, and user experience. As a Full Stack Developer, I created responsive layouts, custom templates, and clear service pages with strong CTAs to increase inquiries. Optimized for speed, SEO, and mobile usability, delivering a scalable web solution that enhances brand credibility and online visibility.

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Faisalabad, Pakistan

Lead Dev | Turning Complex AI Ideas into High-End Products

29: Followers

Lead Dev | Turning Complex AI Ideas into High-End Products

Cover image for SoulDeeds — Full-Stack Community &

SoulDeeds — Full-Stack Community & Connection Platform Project Overview SoulDeeds is a high-performance, full-stack web application designed to facilitate meaningful and purposeful connections within a community. As a Lead Developer, I architected and built the entire system focusing on scalability, real-time interactions, and a premium user experience. The Challenge The goal was to create a secure, high-traffic platform that balances a modern UI with complex backend logic for user verification and community matchmaking. Core Contributions & Features Full-Stack Architecture: Developed a robust end-to-end system using Next.js and React for the frontend, and Node.js for the backend. Database Management: Integrated MongoDB to handle complex user data, relationships, and dynamic content efficiently. RESTful API Development: Built secure and scalable REST APIs to manage authentication, profile verification, and data flow between the frontend and server. UI/UX Specialist Approach: Implemented a sophisticated, responsive design using CSS3 and modern styling libraries, ensuring a seamless experience across all devices. Community Features: Engineered logic for verified profiles and "halal connections," prioritizing user safety and community integrity. Tech Stack Frontend: Next.js, React.js. Backend: Node.js, Express. Database: MongoDB. APIs: REST API Architecture. Styling: Advanced CSS3, Responsive Design.

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Cover image for Sustainable Mountain Living — Custom

Sustainable Mountain Living — Custom WordPress Development Project Overview I developed a high-end, visually driven website for a premium modular home and sustainable living brand. The goal was to create a digital experience that reflects "Sustainable Craftsmanship" and provides a seamless search for exclusive land and properties. Key Contributions & Features Custom WordPress Architecture: Built a lightweight and fast-loading site using a native WordPress approach, ensuring high performance for image-heavy content. Property Search & Listings: Integrated a custom layout for discovering mountain sanctuaries and land, optimized for both desktop and mobile users. Visual Storytelling: Implemented a clean, editorial design with a focus on high-quality typography and spacing to highlight sustainable construction solutions. Dynamic CMS: Structured the backend so the client can easily manage property listings, blog insights ("Insights into Slow Living"), and client testimonials without technical help. Mobile-First Responsive Design: Ensured that the detailed gallery and property cards are fully responsive, providing a premium feel on any device. Tech Stack Platform: WordPress. Frontend: HTML5, CSS3 (Advanced Layouts), JavaScript. Tools: Optimized for Core Web Vitals and SEO. Niche: Real Estate / Sustainable Construction.

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Cover image for Project: WeVersity — E-Learning Ecosystem
WeVersity

Project: WeVersity — E-Learning Ecosystem WeVersity is a high-performance "Learn to Earn" platform bridging the gap between education and modern tech. Core Features: Dual-Portal: Custom dashboards for Instructors & Students with secure RBAC. Live Classes (Web): Real-time interactive sessions with experts. TikTok-Style (App): Educational shorts on Google Play Store for fast learning. Course Library: 200+ Free Courses optimized for all devices. Technical Stack: Frontend: Next.js & React.js. Backend: Supabase & PostgreSQL. Infrastructure: VPS with Vercel CI/CD. From database architecture to a LIVE Play Store app, WeVersity showcases my full-stack expertise.

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Cover image for My First App is LIVE

My First App is LIVE on Google Play! 🚀 After 2 months of intense coding, WeVersity-Learn to Earn is finally live! 🎉 This app makes learning more interactive and seamless than ever. What makes WeVersity special? 🎥 TikTok Style Shorts: Quick, fun learning through shorts! 🎙️ Live Classes: Real-time sessions with experts. 📅 Events: Stay updated with webinars & workshops. 💬 Chat: Instant support from instructors. This is just the start of revolutionizing digital learning. Check it out, explore, and share your feedback!

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Faisalabad, Pakistan

AI/ML Engineer integrating DevOps & Cloud.

New to Contra

AI/ML Engineer integrating DevOps & Cloud.

Cover image for Blizzup Agentic Bike Dealership
Project Overview
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Blizzup Agentic Bike Dealership Project Overview A sophisticated, full-stack AI-driven dealership platform that leverages Agentic AI to provide deep technical comparisons, transparent mathematical scoring, and automated inventory management. Built to fulfill a "Fullstack + AI Developer" assessment, the system uses a ReAct (Reason + Act) loop, allowing the AI to autonomously fetch real-world data and execute complex backend functions. (Note: The live AI agent functionality is currently disabled.) Core Technologies & Frameworks React, Tailwind CSS Node.js, Express Google Gemini AI (@google/generative-ai) MongoDB Atlas / Mongoose Pollinations.ai (http://Pollinations.ai) (Image Generation) Key Features & Engineering Highlights Agentic AI & Function Calling: Engineered a state-machine ReAct loop where the AI autonomously decides when to trigger real-time backend functions to retrieve inventory data, moving beyond traditional static prompting. Explainable Scoring Engine: Developed a dynamic scoring system that evaluates bikes across five strict metrics (Price, Fuel Average, Engine Power, Value, Features), featuring "Thinking Accordions" that expose the AI's internal mathematical reasoning to the user. Automated Bulk Ingestion: Built an intelligent pipeline allowing admins to ingest multiple vehicles by name; the AI automatically fetches exact technical specifications and generates high-fidelity photographic prompts. Dynamic Image Generation & Self-Healing: Integrated Pollinations.ai (http://Pollinations.ai) to dynamically generate accurate vehicle images based on AI-classified categories (e.g., Mountain Bike vs. Superbike), alongside an automated admin utility to repair and refresh low-quality database thumbnails.

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Cover image for AI Image Forensics Web Application
Project

AI Image Forensics Web Application Project Overview A professional-grade, multimodal web application designed to detect and analyze AI-generated visual content. By combining traditional image processing techniques with advanced Large Vision-Language Models (VLMs), the platform provides comprehensive, automated analyses of image authenticity, digital signatures, and physical integrity. Core Technologies & Frameworks Next.js (React) Python, FastAPI Google Gemini Vision API Docker, Google Cloud Run Key Features & Engineering Highlights 8-Stage Forensic Pipeline: Engineered a highly robust image analysis pipeline that sequentially executes metadata scanning, quadrant tiling, Error Level Analysis (ELA), and Canny Edge detection. Multimodal AI Analysis: Integrated Google Gemini Vision as an automated "forensic analyst" to evaluate visual inputs for physical inconsistencies, blending errors, and AI generation artifacts. Decoupled Microservices Architecture: Built a high-performance Next.js frontend paired with a highly scalable Python/FastAPI backend to efficiently process complex mathematical image transformations. Cloud-Native Deployment: Established automated workflows for containerizing the application with Docker and deploying the backend services to Google Cloud Run for scalable compute. Data Visualization UI: Developed an intuitive, user-friendly dashboard to clearly present complex forensic findings, edge maps, and AI confidence scores to end-users.

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Cover image for AuraBeat: Context-Aware Music Curator
Project Overview
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AuraBeat: Context-Aware Music Curator Project Overview A full-stack, AI-driven application that generates highly personalized music soundscapes by blending real-time environmental data with deep user sentiment analysis. Built to seamlessly integrate advanced LLM decision-making with frontend aesthetics, the platform curates audio-visual experiences that map exactly to the user's current mood and local weather conditions. Core Technologies & Frameworks React 18, Tailwind CSS, Framer Motion Node.js, Express.js Google Gemini AI YouTube Data API v3 Open-Meteo & Nominatim APIs Key Features & Engineering Highlights Context-Aware LLM Pipeline: Engineered an AI pipeline using Google Gemini to perform sentiment analysis on user input and merge it with real-time weather analytics for highly accurate, contextual song recommendations. Dynamic UI & Color Theory: Built an ultra-responsive frontend featuring a dynamically shifting UI color palette that programmatically updates based on the AI's aesthetic evaluation of the recommended track. Multi-API Orchestration: Seamlessly integrated multiple external APIs (YouTube, Open-Meteo, Nominatim) within an Express.js backend to stream official video content and fetch localized environmental data. Decoupled Architecture: Designed a robust client-server architecture separating the Vite/React frontend from the Node.js backend, ensuring secure API key management and scalable request handling.

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Cover image for AI Study Notes Agent
Project Overview
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AI Study Notes Agent Project Overview A cloud-native, multi-user AI application designed to transform how users interact with and synthesize study materials. Built with a focus on end-to-end engineering and MLOps, this platform leverages advanced Retrieval-Augmented Generation (RAG) to deliver context-aware document analysis and automated study aids. Core Technologies & Frameworks Python, Streamlit Google Gemini 2.5 Flash LangChain, ChromaDB Supabase (PostgreSQL) gTTS (Google Text-to-Speech) Key Features & Engineering Highlights Intelligent Document Analysis: Engineered a robust RAG pipeline utilizing ChromaDB and LangChain to process documents and generate highly accurate, citation-backed insights. 1-Click Anki Flashcard Generator: Developed an automated pipeline that extracts key concepts from text and instantly formats them into Anki-ready flashcards for spaced-repetition learning. Audio Podcast Conversion: Integrated gTTS to automatically convert study notes and summaries into audio formats, allowing users to consume educational content on the go. Scalable Cloud Architecture: Designed a multi-user environment backed by Supabase PostgreSQL, utilizing UUIDs for secure, persistent data storage and user isolation. LLM Output Formatting: Implemented strict prompt engineering and formatting harnesses to prevent LLM output drift, ensuring 100% reliable and seamless database insertions.

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Muhammad Umair Amjad

Faisalabad, Pakistan

Experienced Web & Mobile App Developer

Experienced Web & Mobile App Developer

Cover image for React Native Mobile App | SPIS: Smart Phone Inspection and Sell…

React Native Mobile App | SPIS: Smart Phone Inspection and Sell…

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Cover image for Mobile App Development - E-commerce

Mobile App Development - E-commerce

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Cover image for Ecommerce Store

Ecommerce Store

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Faisalabad, Pakistan

Automation & Full-Stack Dev | Systems That Save 10+ Hrs/Week

14: Followers

Automation & Full-Stack Dev | Systems That Save 10+ Hrs/Week

Cover image for Full-featured courier tracking platform with

Full-featured courier tracking platform with separate portals for shippers, admins, and riders.

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Cover image for AI automation platform with a

AI automation platform with a unified dashboard aggregating WhatsApp, Instagram, and Facebook conversations via Chatwoot.

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Cover image for Professional construction company website with

Professional construction company website with project showcase, service pages, Admin & User Dashboard and lead capture.

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Cover image for End-to-end AI automation for restaurants

End-to-end AI automation for restaurants covering ordering, kitchen workflows, and operations management.

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Faisalabad, Pakistan

Next.js & MERN Full-Stack Web Developer

New to Contra

Next.js & MERN Full-Stack Web Developer

Cover image for 🚀 E-Commerce Website Next.js

🚀 E-Commerce Website Next.js & MERN

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Cover image for Chatbot python

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Cover image for Full Stack Nextjs Chat with

Full Stack Nextjs Chat with pdf application

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Cover image for Human Resource Management System (HRM)
Centralized

Human Resource Management System (HRM) Centralized Employee Management – Manage all staff data in one place effortlessly. Smart Attendance & Leave Tracking – Approve leaves and track attendance in seconds. Automated Payroll – Accurate salary calculations and seamless payroll processing. Performance Insights – Monitor and evaluate employees with real-time analytics. Secure & Scalable – Built with MERN & Next.js for speed, security, and growth. Intuitive Dashboard – Simple interface for admins to manage HR workflows. Real-Time Reporting – Generate insights and HR reports instantly.

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Muhammad Bilal Azaad

Faisalabad, Pakistan

Full-stack Developer: Python Django & React Specialist

Full-stack Developer: Python Django & React Specialist

Cover image for Hire a Lawyer online

Hire a Lawyer online

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Cover image for Vexion

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Cover image for Tailorie

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Faisalabad, Pakistan

Full Stack Web Developer Mern Stack and Next.Js Developer

Full Stack Web Developer Mern Stack and Next.Js Developer

Cover image for BELTO DOC

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Cover image for BELTO ADMIN PORTAL

BELTO ADMIN PORTAL

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Cover image for AdSoar

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