Freelancers using Python in Sindh
Freelancers using Python in Sindh
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Muhammad Hassan
pro
Karachi, Pakistan
Full-Stack & AI Developer | Next.js, AI Agents
$50k+
Earned
12x
Hired
5.0
Rating
203
Followers
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Full-Stack & AI Developer | Next.js, AI Agents
1
AI Voice-Enabled Mortgage Loan Chatbot - React, Flask & OpenAI
1
151
1
Frontend Lead & AI Developer @ Chronicler Labs
1
198
1
Rebuilding NestLink's Real Estate SaaS Platform
1
57
0
Prsoo: Concept to Launch in 4 Weeks
0
42
Python
(1)
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Salman Khan
pro
Karachi, Pakistan
Webflow + AI Developer | Agents & Automation
5.0
Rating
23
Followers
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Webflow + AI Developer | Agents & Automation
1
Employee Management Automation System
1
10
2
Sully.ai – AI Employees for Healthcare
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12
1
Hello Patient – Healthcare AI Platform
1
11
0
ScribeMD – AI Medical Scribe Platform
0
10
Python
(10)
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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
56
0
Getz Pharma | Gastro Guru
0
20
0
Foods Inn | AI Restaurant Bot
0
16
0
Get Licensed | Revenue Forecasting Algorithm
0
9
Python
(4)
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Moiz Ahmed Mansoori
Karachi, Pakistan
AI Assistants, RAG Chatbots & Business Workflow Automation
New to Contra
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AI Assistants, RAG Chatbots & Business Workflow Automation
1
Most people think generating a 3D model is the hard part. It isn't. The real challenge is generating something that's actually usable. That's why I built VoxelVia3D. Instead of producing random meshes, it turns a simple text prompt into a structured 3D asset that creators can immediately preview and download. What I focused on wasn't just AI generation. It was the complete product experience: • Clean web interface • Fast AI inference • Real-time generation progress • Downloadable 3D assets • Responsive, production-ready deployment The difference between a cool AI demo and a useful AI product isn't the model. It's everything around the model. That's the kind of AI software I enjoy building. 🌐 voxelvia3d.app (http://voxelvia3d.app)💼 contra.com/moiz_roshan_zszcum4s
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65
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I built an AI wellness app that does more than generate responses. It listens, remembers context, and responds with emotional guardrails in place. https://asksukoon.com/ Most “AI wellness” tools today are just chat interfaces with a mental health label attached. AskSukoon was built differently. What’s inside: — Voice conversations with sentiment-aware responses — Memory-powered support using ChromaDB — Guardrails for sensitive interactions — Guided reflections and mood tracking — Fast, mobile-friendly experience built for real users The hardest part wasn’t connecting an LLM. It was designing something that feels calm, safe, and usable in production. Shipping this taught me more about product than 3 years of coursework Live: https://asksukoon.com/ Services: contra.com/moiz_roshan_zszcum4s
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184
1
QueryMind lets you query a real database using plain English. Type a question, get an answer — no SQL knowledge needed. Built a production-grade AI agent using LangGraph that converts natural language to SQL, executes it on a real PostgreSQL database with 100,000+ rows, and automatically corrects errors in a retry loop if the query fails. Key features: 7-node LangGraph agent with conditional routing and self-correction pgvector semantic search for intelligent schema retrieval Full observability dashboard with real-time metrics and query history Trace replay — see every step the agent took to answer your question Deployed live: Next.js frontend on Vercel, FastAPI backend on Render Tech: LangGraph · Groq LLaMA 3.3 70B · PostgreSQL · pgvector · FastAPI · Next.js · Tailwind CSS Github: https://github.com/moiz-mansoori/QueryMind-NL2SQL-Agent-System
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172
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Built an empathetic mental wellness chatbot using LLaMA 3.3 and LangChain. Features mood-based conversations, real-time sentiment analysis, ChromaDB vector memory, breathing exercises, and journaling prompts. Deployed live on Streamlit Cloud.
1
175
Python
(6)
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Muhammad Umer
Karachi, Pakistan
Turning complex AI into seamless web experiences users love.
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Turning complex AI into seamless web experiences users love.
0
Recruiters spend countless hours manually reviewing resumes, comparing candidate qualifications, and managing hiring pipelines. Considering this problem I developed Developed HireIQ, an AI-powered recruitment platform that streamlines the entire hiring process by combining resume analysis, AI candidate scoring, and workflow automation into a single dashboard. Key Features: 🔥 AI-powered resume parsing and analysis 🔥 Automated candidate scoring and ranking 🔥 Resume-to-job matching 🔥 Multi-step recruitment dashboard 🔥 Candidate management system 🔥 AI-generated hiring insights and recommendations 🔥 Recruiter analytics dashboard 🔥 Secure authentication and role-based access 🔥 Modern responsive UI with dark theme Impact it created: 🚀 Reduced manual resume screening time by 90% 🚀 Accelerated candidate shortlisting by 75% 🚀 Improved recruiter productivity by 3× 🚀 Reduced hiring workflow steps by 60% 🚀 Enabled recruiters to evaluate 100+ resumes in minutes instead of hours 🚀 Increased consistency in candidate evaluation through AI-driven scoring
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19
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HireIQ — AI Recruiting Platform HireIQ is a concept-stage AI HR tech platform designed to modernize how teams evaluate and hire talent. The platform transforms raw text inputs job descriptions and resumes into structured, actionable insights through four core modules. Main Features: 🔥 The AI Resume Screener scores any resume against a job spec in seconds, surfacing alignment, weaknesses, and fit potential. 🔥 The Multi-Resume Ranker benchmarks multiple candidates in parallel using standardized criteria and objective metrics. 🔥 The AI Interviewer auto-generates behavioural and technical questions tailored to the role's seniority and competency focus. 🔥 The Bias Checker audits job descriptions for ageist, gendered, or exclusionary language and rewrites them for broader reach. I created it using custom LLM prompt pipelines using Gemini 2.5 Flash for hyper-fair, standardized evaluation reports and consistent scoring without compromising candidate data privacy.
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77
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NOMAD is a luxury travel concept website built for a high-end travel curation brand, designed to show how generative AI can replace static destination guides with a real-time, personalized advisory engine. Beyond an elegant, editorial storefront showcasing the brand's travel philosophy across discovery, adventure, wellness, and culture, the site's centrepiece is an AI Custom Expedition Concierge, a tool that generates a complete, destination-specific luxury travel dossier on demand for any location a user types in. Built end-to-end: UX flow, visual design, and AI integration. Key Features: - AI Expedition Concierge: shoppers enter any destination (or pick from suggested sanctuaries like Kyoto or Santorini) and the AI generates a full advisory profile in seconds, including an evocative destination overview, hotel recommendations with ratings and pricing, must-see sights with ideal visit times, and local culinary picks with heritage notes. - Verified Advisory Dossiers: each generated profile can be saved to a user's account, copied as a shareable link, or exported as a real, multi-page printable PDF dossier, turning AI output into a usable travel document rather than just on-screen text. - Curated Concierge Advisories: alongside the generated content, the AI surfaces hyper-local etiquette tips, booking windows, and insider rules (e.g. when to book private viewings, seasonal crowd patterns) that go beyond generic travel-guide filler. - Elite Stay & Sights Indexing: AI-generated recommendations are structured into clear categories (stay advisory, sacred sights, culinary escapes) with practical metadata like visit duration and "must do" call-outs for each entry. - Full Storefront Build: a scroll-driven homepage with cinematic full-bleed imagery, editorial typography, and narrative sections (Wanderlust, Discovery, Adventure, Serenity, Culture, Horizon) that establish the brand's voice before guiding users into the advisory tool. Tech/Tools: OpenAI, Python, Machine Learning, conversational AI integration This is a concept build exploring how AI can turn a travel website from a static brochure into a living, on-demand concierge :generating a bespoke destination dossier in the time it takes to type a place name.
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107
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KOWEAR AI-Powered Fashion E-Commerce Website KOWEAR is a full-concept AI fashion e-commerce website built for a futuristic techwear/luxury streetwear brand designed to show how generative AI can be woven directly into the shopping experience, not just bolted on as a chatbot. Beyond a cinematic, editorial-grade storefront, the site includes a conversational AI stylist, an AI outfit builder, a custom garment design studio, and an AI virtual try-on tool that lets shoppers see themselves wearing a piece before they buy. Built end-to-end: UX flow, visual design, and AI integration. Key Features: - AI Stylist Chat: a conversational assistant that takes a shopper's occasion, vibe, and budget and curates a complete look from the catalogue in real time, with suggested prompts to get started. - Build My Outfit: a guided outfit generator where shoppers set a style vibe, colour palette, and budget via a slider, and the AI assembles a complete coordinated outfit (jacket, footwear, smart wearable, etc.) with reasoning for each piece and a one-click "Add Full Look to Bag." - Design Studio: a parametric custom-garment generator: shoppers choose category, fabric, fit, vibe, and colour, and the tool renders a unique AI-generated garment image in seconds. - AI Virtual Try-On: shoppers upload a photo, select a garment, fit, size, and colour, and the AI generates a realistic preview of them wearing it, with clear privacy messaging around how the photo is used. - Full Storefront Build: homepage with hero, curated collections, signature drops, lookbook-style storytelling sections, social proof and reviews, and an Instagram-style "reels" feed, all styled in a dark, premium, cinematic aesthetic. Tech/Tools: OpenAI, Python, Machine Learning, conversational AI integration A concept build exploring where AI-native fashion retail is headed, from styling advice to fully custom, on-demand garment generation.
0
101
Python
(4)
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Fawad Shah
Karachi, Pakistan
I turn your manual data chaos into automated, high-growth.
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I turn your manual data chaos into automated, high-growth.
0
// I engineered a custom B2B lead generation pipeline to automate the identification and structured data collection of high-value prospects on professional networking platforms. Targeted Intelligence: Built a custom scraping engine to filter and identify prospects based on specific job titles, industries, and company sizes, ensuring only high-quality leads enter the pipeline. Automated Data Aggregation: Designed a systematic workflow to extract and export clean, formatted contact lists directly into Excel/Google Sheets, ready for immediate sales outreach. Human-like Interaction: Implemented randomized session intervals and navigation patterns to maintain account safety and ensure full platform compliance. Workflow Efficiency: Reduced manual research and data entry time by over 80%, allowing sales teams to focus entirely on closing deals rather than prospecting. Outcome: This solution provides a scalable, automated engine for consistent lead growth, enabling businesses to fill their sales funnel with verified, targeted professionals on autopilot.
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28
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// I built a high-performance Android automation bot designed to streamline the booking process for high-demand, restricted golf course slots. This project demonstrates my ability to engineer robust, scalable automation solutions for complex mobile applications that lack public APIs. Fast & Reliable: Optimized for millisecond-level reaction times to secure time-sensitive bookings before others. Precise & Smart: Mimics natural, human-like behavioral patterns to prevent platform detection and ensure 100% account safety. End-to-End Workflow: Developed a complete, user-friendly deployment guide, ensuring seamless setup and operation for the end-user. Advanced Tech Stack: Engineered using Android Appium, ADB, and custom Python scripts to interact directly with the app's interface. Impact: This automation engine eliminates the stress of manual booking, providing a reliable, automated workflow that guarantees slot acquisition in highly competitive environments.
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29
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// I engineered a high-performance, Python-based automation engine designed to monitor top-tier e-commerce platforms in real-time. This solution provides businesses with critical market intelligence by tracking price fluctuations and inventory availability across large-scale product catalogs. Automated Data Extraction: Developed a robust, continuous monitoring engine that scrapes diverse e-commerce sites, capturing structured, high-accuracy live product data. Data Processing & Validation: Implemented an advanced validation layer to clean and organize massive datasets, transforming raw web data into actionable, ready-to-use business insights. Smart Alerting System: Built an instant, event-driven notification engine that triggers alerts for price drops and stock changes, empowering users to make informed, cost-saving decisions instantly. Scalable Reliability: Engineered for 24/7 autonomous operation, ensuring high-speed data delivery and seamless integration into existing operational workflows. Outcome: This solution eliminates time-consuming manual research and enables automated, data-driven buying and pricing decisions at scale.
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I engineered a private Chrome Extension to automate high-frequency vehicle appraisal workflows, seamlessly bridging live auction platforms with valuation sites. Key Solutions: Data Orchestration: Auto-extracts VIN and mileage from auction sessions and injects them into valuation forms in real-time. SPA Automation: Navigates complex, multi-step forms to deliver instant, high-converting offers directly back to your auction page. Anti-Bot Security: Implements randomized delays and human-like behavioral patterns for undetected, reliable operation. Deliverables: Modular, Manifest V3 compliant code, a comprehensive deployment guide, and a full operational demo. This solution transforms manual appraisal processes into a scalable, automated pipeline, driving higher conversion rates and profit.
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54
Python
(4)
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Saad Bin Riaz
Karachi, Pakistan
AI Agent Developer | Web App Builder | Automation Specialist
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AI Agent Developer | Web App Builder | Automation Specialist
0
Teaching-Agent is an AI-powered educational
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0
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🚀 Built Twin-Company-Agent — An
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1
0
🚀 Built a Personalized AI
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0
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FastAPI Business Web Application Built a
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0
Python
(4)
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osama zaman
Karachi, Pakistan
i am a student of ai and ml
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i am a student of ai and ml
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LLM Operator Development and Optimization
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5
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Comparative Analysis Heart Disease Prediction
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3
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Triage Model using LightGBM
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4
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Sales Forecasting Project
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2
Python
(11)
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