Freelancers using TensorFlow in Lahore

Freelancers using TensorFlow in LahoreFreelancers using TensorFlow in Lahore

Projects People

Lahore, Pakistan

Web Designer & Developer | Framer, Webflow & Figma

1x: Hired

15: Followers

Web Designer & Developer | Framer, Webflow & Figma

Cover image for O-A: Predictive Demand Dashboard

O-A: Predictive Demand Dashboard

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Cover image for Base44 "Give it a Glow"

Base44 "Give it a Glow" Competition Submission Project: Bake Me Happy — Artisan Bakery Live Customer URL: https://bakehappy.base44.app/ (https://bakehappy.base44.app/)Live Admin URL: https://bakehappy.base44.app/dashboard 1. The Product Overview What it is: A comprehensive, end-to-end artisanal bakery operating system. 💯 Real-World Utility: Most local bakeries rely on messy WhatsApp chats, manual inventory counting, and phone calls for custom cake orders. Bake Me Happy replaces that chaos with a premium storefront and a highly intelligent backend. 💯 Design Quality: The design utilizes a boutique, minimalist aesthetic that matches the high-end nature of the products. It's fully mobile-responsive and feels like a luxury brand experience. 2. The Automation Depth. Customer-Facing Automations (Revenue & CX) 🚀 3D Cake Customizer & Pricing Engine(Hero): Automatically calculates complex pricing tiers in real-time as users customize their cakes (shape, flavor, layers, custom messages). 🚀 AI Cake Concierge (Superagent): A fully implemented web chatbot that asks customers what they are celebrating and suggests specific cakes from the catalog. 🚀 WhatsApp AI Assistant: A 24/7 automated WhatsApp flow that acts as a virtual cashier—answering FAQs, taking custom orders, grabbing delivery details, and automatically syncing the order to the Admin Dashboard. Business-Facing Automations (Time-Saving & Operations): 🚀 Inventory AI(Hero): Automatically tracks ingredient usage based on orders and generates alerts when stock is critical (e.g., < 3 days remaining), saving the owner hours of manual stock-taking. 🚀 Review AI: Automatically aggregates customer reviews and uses sentiment analysis to categorize complaints (Quality, Price, Packaging) and identify "Taste Trends". 🚀 Bakery Co-Pilot: An admin-facing AI assistant that can instantly generate daily business briefings and competitor intelligence reports. 4. The Story The Before: An Instagram page with 5k followers where custom cake orders were a nightmare of manual DMs, manual price quoting, and guessing when ingredients were running low. The After: An end-to-end luxury storefront and an AI-powered operating system built entirely on Base44 that the business is actively using today! What I built: 🤖 AI Superagent & WhatsApp Bot: 24/7 automated order taking and customer support. 📊 Competitor AI: Automatically tracks local competitor pricing and generates business insights. 📦 Inventory AI: Automatically calculates ingredient burn rates and alerts the owner before they run out of stock. They are saving hours a week, and their customers get a premium, frictionless experience. https://www.loom.com/share/4df48796f863412e997b5559ffc54818

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Cover image for Vela Bottle — Framer Product Landing Page

Vela Bottle — Framer Product Landing Page

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Cover image for Kava by Mitra9: Shopify Ecommerce

Kava by Mitra9: Shopify Ecommerce

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Hammad Bin Sajjad

Lahore, Pakistan

Software Engineer with a commitment to excellence

Software Engineer with a commitment to excellence

Cover image for Pixel Character Sprites Generation

Pixel Character Sprites Generation

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Cover image for Global Pixel Chat

Global Pixel Chat

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Cover image for E-Commerce Website Clone

E-Commerce Website Clone

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Cover image for Basic Social Media App

Basic Social Media App

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Lahore, Pakistan

Transforming Data with AI and Full Stack Solutions

Transforming Data with AI and Full Stack Solutions

Cover image for AI-Powered Customer Service Chatbot

AI-Powered Customer Service Chatbot

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Cover image for Data-Driven Healthcare Insights Dashboard

Data-Driven Healthcare Insights Dashboard

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Cover image for Betting-Project-Using-Arb-Finder

Betting-Project-Using-Arb-Finder

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Cover image for Hazard-Assessment-To-Make-Communities-Fire-Smart

Hazard-Assessment-To-Make-Communities-Fire-Smart

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Lahore, Pakistan

Affordable Web Developer, Web Scraper & Automation Expert

Affordable Web Developer, Web Scraper & Automation Expert

Cover image for Project-Trojan

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Cover image for alijafarkamal/IMDB-clone

alijafarkamal/IMDB-clone

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Cover image for Data_analysis

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Cover image for GitHub - alijafarkamal/Trojan-Scraper: It contains my scraping …

GitHub - alijafarkamal/Trojan-Scraper: It contains my scraping …

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Lahore, Pakistan

AI/ML & Data Solutions Engineer

New to Contra

AI/ML & Data Solutions Engineer

Cover image for Trained a DreamBooth LoRA model

Trained a DreamBooth LoRA model to generate high-quality, personalized image outputs with consistent subject identity across different prompts and styles. The project involved dataset preparation, image captioning, and fine-tuning diffusion models using LoRA for efficient training and deployment. The solution enables fast generation of customized visuals while preserving subject consistency, style control, and high fidelity, suitable for creative, branding, and content generation use cases.

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Cover image for Retail Knowledge Graph
In this project,

Retail Knowledge Graph In this project, we built a semantic knowledge graph tailored to the retail industry. The pipeline involved developing AI agents to transform heterogeneous data into standardized formats. Ontologies were created to represent domain knowledge accurately. Using Gemini models and LangChain, user queries were converted into Cypher queries to retrieve insights from a Neo4j database. We utilized an MCP server for orchestration and LangSmith for secure login and audit trails. This system enhances complex data exploration for non-technical users.

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Cover image for Student Medical Chatbot
Built a chatbot

Student Medical Chatbot Built a chatbot to assist MBBS students in navigating medical literature. Leveraged Llama Index and fine-tuned language models to ensure accuracy. Embeddings were stored in OpenSearch, hosted on AWS. The Django backend included secure authentication and session management for a robust user experience.

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Cover image for Prompt Engineering Mini-Academy is a

Prompt Engineering Mini-Academy is a digital learning product built using Kajabi. It helps users learn how to write better AI prompts and use AI tools for daily tasks such as writing, research, summarization, and productivity. The problem it solves is that many people use AI tools without a proper structure, which leads to weak or generic results. This product gives users a clear learning path, practical prompt templates, and workflow examples to improve the quality of their AI outputs. I used Kajabi to create the landing page, email capture form, downloadable prompt resource, product offer, checkout page, and course structure. A sample video is attached to demonstrate the product flow and user experience.

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Lahore, Pakistan

AI Solutions & Automation for Your Business

AI Solutions & Automation for Your Business

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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Cover image for Detectra AI — Multimodal Video Intelligence | Nexariza AI

Detectra AI — Multimodal Video Intelligence | Nexariza AI

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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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Lahore, Pakistan

I build production-ready AI systems that actually ship

I build production-ready AI systems that actually ship

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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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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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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