Freelancers using Supabase in FaisalabadFreelancers using Supabase in Faisalabad
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Sameer Sajid's avatar
Sameer Sajid
Faisalabad, Pakistan
Lead Dev | Turning Complex AI Ideas into High-End Products
33
Followers
Lead Dev | Turning Complex AI Ideas into High-End Products
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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Cover image for A high-performance, Full-Stack React application built to sh...
A high-performance, Full-Stack React application built to showcase my development agency's services and portfolio. This project demonstrates my ability to build scalable, AI-integrated web solutions with a focus on premium user experience. Key Features: Seamless page transitions, AI-powered content generation (Gemini API), and a secure backend for data management. Tech Stack: React 19, TypeScript, Tailwind CSS, Framer Motion, and Supabase. Performance: Optimized for speed and responsiveness across all devices using modern CSS architecture. Skills & Tools Section mein ye select karen: Is project ke liye jab Skills aur Tools ka option aaye, to ye lazmi add karna: Skills: Full-Stack Development, Web Animation, AI Integration. Tools: React, TypeScript, Supabase, Framer Motion, Tailwind CSS.
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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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Supabase(3)
Jaleed Ahmad's avatar
Jaleed Ahmad
Faisalabad, Pakistan
AI/ML Engineer integrating DevOps & Cloud.
New to Contra
AI/ML Engineer integrating DevOps & Cloud.
Cover image for AI Study Notes Agent Project Overview A
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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Cover image for Blizzup Agentic Bike Dealership Project Overview A
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 A
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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Supabase(1)
Haseeb Ahmed's avatar
Haseeb Ahmed
Faisalabad, Pakistan
Senior React Native Developer | Android & iOS | Mobile App
$1k+
Earned
1x
Hired
5.0
Rating
25
Followers
Senior React Native Developer | Android & iOS | Mobile App
Cover image for Barrel Connect - A Complete
Barrel Connect - A Complete Community Mobile app for Barrel Racers developed using React Native Expo
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Cover image for MyDaily100 - Mobile application developed
MyDaily100 - Mobile application developed using React Native and Expo to manage daily goals. Also to make life easier and motivated you can hire coaches to train/guide you.
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Cover image for Just finished a landing page
Just finished a landing page concept for Snow Boarding Goggle using Figma and Jitter.
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Cover image for This onboarding flow features: • Personalized
This onboarding flow features: • Personalized fitness goal selection • Smooth progress indicators • Calorie, workout, and habit tracking preview • Minimal, energetic visual style • Motivational messaging to boost engagement Designed for today’s fitness lovers seeking a smarter way to stay on track.
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Supabase(1)
Talha Noman's avatar
Talha Noman
Faisalabad, Pakistan
Converting business ideas into performant web & mobile apps
Converting business ideas into performant web & mobile apps
Cover image for Algarve Connect (Social App)
Algarve Connect (Social App)
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Cover image for Teaconnect (Hospitality SaaS)
Teaconnect (Hospitality SaaS)
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Cover image for Confinity – Cherished Forever
Confinity – Cherished Forever
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Cover image for Development of eeko.ai Platform for MSMEs
Development of eeko.ai Platform for MSMEs
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Supabase(1)