Freelancers using Matplotlib in Islamabad
Freelancers using Matplotlib in Islamabad
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Zain Iqbal
Islamabad, Pakistan
Founder @Neurapulse AI
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Founder @Neurapulse AI
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OGDCL Medical Analytics Dashboard Designed and developed an interactive medical analytics dashboard during my AI-focused internship at Oil & Gas Development Company Limited (OGDCL), transforming a large healthcare dataset into clear, actionable visual insights. The project focused on making complex medical and employee-visit data easier to analyze through structured KPIs, interactive visualizations, and an intuitive dashboard interface. Key Features Interactive medical data analytics dashboard KPI cards for monitoring key healthcare metrics Analysis of total visits and unique employee visits Identification and visualization of top diseases and diagnoses Demographic analysis including age and gender distributions Analysis of medical visits across different locations and specialties Interactive filters for exploring specific segments of the dataset Clean visual hierarchy designed for quick decision-making Data preparation and transformation before visualization Dashboard structure designed to make large-scale healthcare data easier to understand Data & Analytics Worked with approximately 350,000 medical visit records containing fields related to patient visits, diagnoses, demographics, doctors, specialties, referrals, laboratory tests, and healthcare providers. Because the underlying dataset contained sensitive medical information, the project focused on analytics and visualization rather than exposing identifiable patient information. Tools Power BI · Microsoft Excel · Data Analysis · Data Visualization · Data Cleaning · Healthcare Analytics My Role AI Intern — Data Analytics & Dashboard Development Handled the data preparation, analysis, visualization strategy, KPI design, and dashboard development, translating a large and complex healthcare dataset into an interactive analytics experience suitable for organizational decision-making.
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EmpathAI — AI Mental Health Chatbot Developed EmpathAI, an AI-powered conversational application designed to provide empathetic, context-aware conversations through natural language. The project focused on combining conversational AI with a simple, accessible interface to create a more human-like chatbot experience. Key Features AI-powered conversational chatbot for natural-language interactions Fine-tuned DialoGPT model for conversational responses Conversational interface built with Streamlit Firebase integration for storing and managing application data Context-aware dialogue handling for more coherent conversations Clean and user-friendly chatbot interface Deployed through Hugging Face Spaces for public accessibility End-to-end implementation covering model development, application interface, backend integration, and deployment Tech Stack Python · DialoGPT · Hugging Face Transformers · Streamlit · Firebase · Hugging Face Spaces My Role AI/ML Engineer — End-to-End Development Designed and developed the project from the AI model layer through the user-facing application, including conversational model fine-tuning, application development, database integration, and deployment. The project gave me practical experience in NLP, conversational AI, transformer-based models, model deployment, and building AI applications around real user interactions.
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Neurapulse AI — AI Solutions & Automation Platform Designed and developed the official website for Neurapulse AI, an AI-focused technology brand delivering AI agents, chatbots, automation systems, and custom AI solutions for businesses. I built the website from the ground up with a modern, conversion-focused interface designed to communicate technical capabilities while keeping the experience simple and professional for potential clients. Key Features & Development Modern responsive landing page designed for desktop, tablet, and mobile AI-focused brand identity and visual design tailored around Neurapulse AI Hero section with clear value proposition and CTA to immediately communicate the company's services Services showcase covering AI agents, AI chatbots, automation, AI SaaS/MVP development, and custom AI solutions Solutions-focused content structure designed to explain complex AI services in a client-friendly way Interactive UI sections and smooth navigation for a polished user experience Strong call-to-action sections to guide visitors toward starting a project Portfolio/project presentation to demonstrate AI development capabilities Responsive layouts optimized across different screen sizes Performance-conscious frontend implementation for a fast and lightweight experience SEO-friendly page structure to improve discoverability and establish the brand online Production deployment with a live Vercel deployment Tech Stack Frontend: HTML, CSS, JavaScript / modern frontend tooling Deployment: Vercel AI ecosystem: OpenAI, AI Agents, LLMs, automation workflows and API integrations My Role Founder & AI Engineer — Neurapulse AI I handled the project end-to-end, including the product positioning, website structure, UI/UX direction, frontend development, service architecture, content presentation, and deployment. The result is a complete digital presence for Neurapulse AI designed not just to showcase technology, but to turn visitors into potential clients.
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ConvoPilot — AI Chatbot MVP Developed an AI chatbot MVP focused on conversational interactions and knowledge based question answering. Worked on the backend architecture, AI integration, retrieval workflow, and deployment considerations for a modular system designed with future SaaS expansion in mind. Technologies: Python, OpenAI API, RAG, FAISS, Sentence Transformers, APIs, Backend Development
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Khizar hayat
Rawalpindi, Pakistan
I build practical business apps and AI automations
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I build practical business apps and AI automations
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House Prediction App
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I recently built an AI-powered email automation workflow using n8n. The workflow: Reads pending customer data from Google Sheets Uses AI to generate a personalized email subject and body Sends the email through Gmail Records the subject, body, date, and time in Google Sheets Automatically changes the status from Pending to Sent This project helped me understand how AI agents, APIs, and workflow automation can work together to solve repetitive business tasks. It was not perfect on the first attempt, and I faced several issues while configuring the AI output and Gmail fields. Solving those problems was the most valuable part of the project. I’m continuing to learn and build practical AI automation projects. hashtag#AI (https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED) hashtag#Automation (https://www.linkedin.com/search/results/all/?keywords=%23automation&origin=HASH_TAG_FROM_FEED) hashtag#n8n (https://www.linkedin.com/search/results/all/?keywords=%23n8n&origin=HASH_TAG_FROM_FEED) hashtag#AIAgents (https://www.linkedin.com/search/results/all/?keywords=%23aiagents&origin=HASH_TAG_FROM_FEED) hashtag#LearningByBuilding (https://www.linkedin.com/search/results/all/?keywords=%23learningbybuilding&origin=HASH_TAG_FROM_FEED)
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I've built SalesPro AI, an interactive, full-stack Next.js web application designed to help businesses instantly forecast sales performance based on their marketing spend across TV, Radio, and Newspaper advertising budgets. The core of the app runs a custom-trained Polynomial Regression Model (achieving 93.55% accuracy / R² score) directly in the browser. By leveraging TypeScript to run the ML math client-side, we get instantaneous forecasts with zero API latency or backend overhead. 🛠️ Key Features: ML-Powered Forecaster: Instant sales projections and customized channel allocation insights based on real historical marketing data. Interactive Analytics Dashboard: Real-time stats tracking total, average, and highest predictions. Persistent Session & History: Secure local signup, login, demo access, and custom settings (including dynamic profile picture uploads!). Data Portability: Full history logs with sorting, filtering, and a one-click Export to CSV feature for further spreadsheet analysis. Modern UX/UI: Responsive dark-mode dashboard with smooth animations and clean micro-interactions. 💻 The Tech Stack: Frontend: Next.js 14 (App Router) & React Styling: Tailwind CSS & Modern Glassmorphism Logic/Type Safety: TypeScript Algorithms: Polynomial Regression (Degree 2) Storage: LocalStorage-backed authentication & prediction database 👉 Live Demo: [https://lnkd.in/eUM_zKkQ]
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🚛 Introducing RavaanOps — a secure transport and fleet management platform I’ve been building. What started as a system for one transport business has now evolved into a multi-business application where every company receives its own private workspace. Key features include: ✅ Vehicle, customer and rental management ✅ Income, expense, fuel and maintenance tracking ✅ Professional invoice generation and payment history ✅ Secure document storage with expiry alerts ✅ Financial reports and CSV export ✅ Invite-only access with automatic expiry ✅ Separate data for every business ✅ Owner-controlled revoke and restore access Built with React, TypeScript, Supabase, PostgreSQL, Row Level Security, GitHub and Vercel. 🔗 Live overview: https://lnkd.in/ddmuxVEZ (https://lnkd.in/ddmuxVEZ)🔐 The dashboard is invite-only, but controlled demo access is available on request.
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Arbab Khan
Rawalpindi, Pakistan
Data Science | Reinforcement Learning | R&D
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Data Science | Reinforcement Learning | R&D
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Earthquake prediction using LSTM
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Windows Forms based application with AI integration
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Cleaning & Visualization of data using Python
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How much time does it take for a Bitcoin transaction to be accepted?
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59
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Syed Ali Haider
Islamabad, Pakistan
Tech is made simple by a skilled technical writer.
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Tech is made simple by a skilled technical writer.
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Calculus and Statistics
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Litrature Review of Classification and Prediction Techniques
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Healthcare Content Sample
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Ameer gul
Islamabad, Pakistan
Solving business problems using AI & data science
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Solving business problems using AI & data science
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Power BI Dashboard Design & Data Visualization
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License Plate Recognition System using Deep Learning & OpenCV
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Image Classification Project Overview | Computer Vision in AI -…
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