Freelancers using Python in Pakistan
Freelancers using Python in Pakistan
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Muhammad Hassan
pro
Karachi, Pakistan
Frontend Focused Fullstack Developer: Next.js & AI Agents
$50k+
Earned
10x
Hired
5.0
Rating
120
Followers
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Frontend Focused Fullstack Developer: Next.js & AI Agents
1
AI Voice-Enabled Mortgage Loan Chatbot - React, Flask & OpenAI
1
117
1
Frontend Lead & AI Developer @ Chronicler Labs
1
69
2
Fullstack Ecommerce Website With Next js, Tailwind CSS & CMS
2
292
1
Corporate Leadership Training Company - Figma To Next.js
1
226
Python
(1)
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Nabeel Farooq
Pakistan
Software Engineer · iOS/Android · Big Data · AI · UX/UI
$5k+
Earned
2x
Hired
5.0
Rating
54
Followers
expert
expert
+5
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Message
Software Engineer · iOS/Android · Big Data · AI · UX/UI
0
AI Stocks Advisor – Smart Investment Assistant
0
17
1
Epos Now - Azure-Powered Data Engineering Pipeline
1
26
0
San Martin Stores – Sales Analytics & Performance Dashboard
0
7
0
Neeman's - Azure-Based E-commerce Data Pipeline
0
8
Python
(9)
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Tayyab Ali
Pakistan
AI Agents Architect | Data Analyst | Database Specialist
$25k+
Earned
1x
Hired
5.0
Rating
56
Followers
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Message
AI Agents Architect | Data Analyst | Database Specialist
1
AI Agent System Design – Multi-Agent Architecture
1
7
3
Graph & Vector Database Architectire Development
3
72
3
AI Voice Call Agents
3
86
1
PostgreSQL Database Architecture for 2 Million+ IoT Devices
1
54
Python
(8)
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Mufasil Iqbal
Karachi, Pakistan
Innovative Solution-Driven Developer
$1k+
Earned
1x
Hired
4.9
Rating
1
Followers
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Innovative Solution-Driven Developer
1
TMBR | Portal
1
48
0
Getz Pharma | Gastro Guru
0
16
0
Foods Inn | AI Restaurant Bot
0
12
0
Get Licensed | Revenue Forecasting Algorithm
0
6
Python
(4)
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Shehzada Ammad Ali
pro
Islamabad, Pakistan
Full Stack Developer| n8n | Framer| Kajabee| Webflow Expert
1x
Hired
42
Followers
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Full Stack Developer| n8n | Framer| Kajabee| Webflow Expert
2
Rat Paw Detection with YOLOv8 + Gradio This project showcases a lightweight and intuitive web interface for detecting rat paws in images using a custom-trained YOLOv8 model. Built with Gradio, it allows users to upload an image and receive instant visual feedback with detected paws highlighted. Key Features: YOLOv8 object detection fine-tuned specifically for rat paw recognition. Interactive web app for image uploads and real-time inference. Built with Gradio for fast prototyping and deployment. Clean interface with automatic annotation overlay.
2
155
1
Image Stitcher – Seamless Panorama Creation Using OpenCV & Gradio This project is a web-based image stitching tool built with Python, OpenCV, and Gradio. It enables users to upload multiple overlapping images and generate a seamless panoramic output with enhanced exposure and automatic perspective correction. Key Features: Uses CLAHE (Contrast Limited Adaptive Histogram Equalization) to enhance the luminance channel and balance exposure across input images. Utilizes OpenCV’s Stitcher class to intelligently align and blend images into a panoramic output. Applies a bounding box and perspective transform to fix skew and crop black borders for a cleaner result. Built with Gradio for a simple, interactive web interface that supports: Multiple image uploads, Real-time stitching preview, One-click stitched image download
1
102
1
AI-Powered Finance & Market Intelligence Dashboard I built a multi-tab interactive finance dashboard powered by Groq's LLM and Phi Agent framework, designed to help investors, analysts, and tech-savvy users gain real-time market insights and AI-powered financial research. This application combines AI-driven conversational capabilities with real-time data extraction from trusted financial APIs and web sources.
1
92
1
AI-Powered News Research Tool | Streamlit Web App This project is a fully functional AI-driven news analysis tool built using Streamlit, designed to help users extract valuable insights from online news articles. Key Features: Accepts a news article URL as input Uses Google Generative AI to analyze and understand the content Splits and processes large articles using Recursive Text Splitting Embeds content using Google Embedding Models Indexes data with FAISS for efficient semantic search Allows users to ask natural language questions, returning accurate answers along with cited sources
1
90
Python
(5)
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Umaima Iqbal
Lahore, Pakistan
I build offline AI tools that make documents talk.
New to Contra
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I build offline AI tools that make documents talk.
1
AuraExtract — Intelligent Invoice & Receipt Data Extractor The extraction engine uses intelligent regex pattern matching that handles real-world invoice layouts — column-per-line PDF formats, inline tabular formats, and plain text documents. It detects 10 fields automatically and parses up to 20 line items per invoice. Supports PDF, TXT, and DOCX formats. Includes a raw text preview panel so users can verify exactly what the engine is reading. CSV export includes both the summary fields and full line items table — ready to open directly in Excel. Pure Python. Zero external dependencies beyond pypdf for PDF reading.
1
24
2
AuraSort scans any folder and automatically sorts files into named subfolders by type — Documents, Images, Videos, Audio, Code, Archives, and more. Files are renamed to clean, consistent lowercase format. Every operation is logged live on screen as it happens. Built with a Dry Run mode so users can preview exactly what will move before anything is touched. Full undo restores every file to its original location with one click. An HTML report is generated after each sort showing every file moved, every category created, and total time taken. Pure Python. Zero external libraries. Works on any machine without installation.
2
39
1
A fully offline document summarizer built in pure Python. Uses TF-IDF scoring, position weighting, and Jaccard deduplication to extract the most important sentences from any PDF, DOCX, or TXT file — each labeled with a relevance percentage. The result looks like this: [1] [100% relevance] The algorithm achieved 94% accuracy on benchmark tests. [2] [81% relevance] Training was performed on 50,000 labeled samples. [3] [67% relevance] Results were validated using 5-fold cross validation. Supports PDF, Word, and TXT files. Saves summaries to your computer. Runs completely offline. No subscriptions, no API keys, no internet required.
1
44
1
Built AuraChat v3.0 — a fully offline Document Intelligence desktop app in pure Python. Users upload any PDF, Word, or TXT file and ask questions in plain English. The system returns cited answers with confidence scores instantly. Technical highlights: — Custom NLP engine using TF-IDF scoring + hybrid token overlap analysis — 1,700× faster indexing than baseline on 500-page documents — Multi-threaded processing — UI never freezes during heavy indexing — Supports PDF, DOCX, and TXT file formats — Zero external APIs — runs completely offline on the user's machine — 23 production-grade bugs identified and resolved before delivery This is not a demo. This is production-ready software built with clean architecture, full error handling, keyboard shortcuts, chat export, source citations, and confidence indicators
1
61
Python
(4)
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syed zain hasan
Rawalpindi, Pakistan
End-to-End Blockchain & AI Solutions Expert
6
Followers
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End-to-End Blockchain & AI Solutions Expert
1
TMInspector- Trademark Infringement Solution
1
5
1
JobParty: GenAI based CV Builder and Career Coach
1
2
1
Review-It AI-Powered Document Review & Enhancement
1
0
1
StonAI
1
6
Python
(3)
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Syed Ali
Lahore, Pakistan
Web Developer building responsive and modern websites
New to Contra
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Web Developer building responsive and modern websites
0
I recently built an e-commerce platform for seamless online shopping and efficient product management, offering customers an intuitive experience to browse products, view details, compare prices, manage carts, and complete secure checkouts, while sellers can easily manage inventory, update listings, track orders, and monitor performance through a clean dashboard. The platform is designed with scalability and performance in mind, ensuring fast load times, responsive design, and reliable data handling across devices. Key Features: • Product browsing with detailed pages • Secure checkout and order management • Admin/seller dashboard for product and inventory control • Responsive, mobile-friendly UI • Modern and scalable architecture
0
89
0
Built an MVP for a Metrominal Service AI Chatbot I recently developed an MVP for an AI-powered service chatbot designed for Metrominal. This generative chatbot helps users resolve issues instantly by understanding their queries, guiding them through solutions, and providing accurate responses in real time. The system is powered by a RAG (Retrieval-Augmented Generation) pipeline, enabling the chatbot to communicate directly with company data. It retrieves relevant documents, processes information, and generates context-aware answers, ensuring reliability and up-to-date results. The MVP demonstrates how AI can streamline customer support, reduce response times, and make organizational data easily accessible to end users through a natural, conversational interface.
0
82
0
Introducing FarmFresh – Connecting Farmers and Consumers Directly FarmFresh is a streamlined platform designed to bring farmers and consumers together with full transparency. Farmers can manage a dedicated dashboard where they add products, update prices, upload details, and share availability in real time. Consumers get a clear view of each product, including descriptions, pricing, farmer information, and live location on an interactive map. This creates a direct, trust-based buying experience and supports local agriculture. FarmFresh makes it easy for farmers to reach more customers and for consumers to access fresh, reliable, and locally sourced products.
0
85
0
Introducing Quiz Hippo – Your AI-Powered Quiz Builder Quiz Hippo is a smart and flexible quiz app that lets you generate quizzes instantly from a prompt, text, URL, or PDF. Just upload your content, and the platform creates clear, accurate, AI-generated questions in seconds. You can build your own quizzes, solve quizzes created by others, track results, and easily share quizzes with friends, students, or teams. The interface is fast, simple, and built for anyone who wants a smarter way to learn or teach. Powered by modern AI and a robust tech stack, Quiz Hippo delivers high-quality question generation, seamless performance, and an engaging user experience. Tech Stack: Python, JavaScript, Node.js, React, LangChain, OpenAI
0
74
Python
(4)
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