Freelance AI Model Developers in IslamabadFreelance AI Model Developers in Islamabad
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Ali Hassan's avatar
Ali Hassan
Rawalpindi, Pakistan
Transforming Data into Actionable Insights 🔍
Transforming Data into Actionable Insights 🔍
Cover image for SALES PREDICTION USING PYTHON
SALES PREDICTION USING PYTHON
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Cover image for IRIS FLOWER CLASSIFICATION
IRIS FLOWER CLASSIFICATION
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Cover image for Titanic Analysis Project
Titanic Analysis Project
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Cover image for Bikes Sales Analysis
Bikes Sales Analysis
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249
AI Model Developer(2)
Muhammad Zeeshan's avatar
Muhammad Zeeshan
Wah Cantt, Pakistan
Python Developer | ML, Data Science & Automation | Latex
New to Contra
Python Developer | ML, Data Science & Automation | Latex
Cover image for Machine Learning Model Evaluation for
Machine Learning Model Evaluation for Soft Biometric Prediction Developed and evaluated machine learning models to predict physical characteristics from human gait data collected using inertial sensors. The project compares Random Forest Regression (RFR), XGBoost, Support Vector Regression (SVR), and Artificial Neural Networks (ANN) using engineered gait features. To assess model generalization to unseen individuals, multiple subject-wise validation strategies were applied, including hold-out validation, 10-fold cross-validation, and Leave-One-Subject-Out (LOSO). Performance was evaluated using MAE, RMSE, and R², with visual comparisons of actual and predicted values. The project demonstrates an end-to-end workflow for data preprocessing, feature engineering, predictive modelling, and systematic performance evaluation.
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Cover image for Data Analysis & Visualization with
Data Analysis & Visualization with Python: Developed a Python-based data analysis workflow to transform raw datasets into meaningful insights through data cleaning, exploratory data analysis (EDA), statistical analysis, and visualization. The workflow uses Python's data science libraries to organize datasets, identify patterns and trends, examine relationships between variables, and present findings through clear, informative charts and graphs. The goal is to make complex data easier to understand and support data-driven decision-making. Key Features: Data Cleaning & Preprocessing: Handle missing values, inconsistent entries, and data quality issues. Exploratory Data Analysis: Investigate distributions, patterns, trends, and relationships within datasets. Statistical Analysis: Calculate descriptive statistics and analyze correlations between variables. Data Visualization: Create informative charts, graphs, and plots to communicate analytical findings. Insight Generation: Summarize key observations in a clear and understandable format. Reproducible Workflow: Use Python scripts and notebooks for transparent, repeatable analysis. Technologies Used: Python · Pandas · NumPy · Matplotlib · Seaborn · SciPy
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Cover image for Developed a Python-based automation system
Developed a Python-based automation system that generates personalized exam bubble sheets in a single PDF file using student information stored in Excel. The system reads each student's name, ID, section, exam date, and required sheet length from an Excel spreadsheet, then automatically populates a custom LaTeX exam template and compiles the output into a PDF document. Each student receives an individually personalized bubble sheet, with support for one-page exams containing up to 100 questions or two-page exams containing up to 200 questions. The solution streamlines bulk exam preparation, reduces repetitive manual work, and ensures consistent formatting across all generated sheets. Key Features: Excel-based student data import Automated LaTeX template population Personalized bubble sheets for each student Support for 100- and 200-question exams Batch generation of a single multi-page PDF Automated PDF compilation using Python Technologies: Python, LaTeX, Pandas, Excel, pdflatex, PDF Automation.
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Cover image for SRTM DEM Visualization Tool –
SRTM DEM Visualization Tool – Python Desktop Application Developed a Python-based desktop application for visualizing Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) data. The application allows users to enter geographic coordinates (latitude and longitude), load the corresponding elevation data, and explore terrain through interactive 2D and 3D visualizations. The tool presents a 3D terrain surface to examine landscape features and a 2D elevation map with contour details and elevation-based color mapping. It combines geospatial data processing, raster analysis, and scientific visualization within a user-friendly graphical interface. Key Features: - Coordinate-based terrain data selection - 2D elevation mapping and contour visualization - 3D terrain surface plotting - Elevation-based color mapping - Desktop GUI for convenient data exploration Technologies: Python, SRTM DEM, geospatial data processing, Matplotlib, 2D/3D visualization, and GUI development.
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AI Model Developer(1)
Arslan Mumtaz's avatar
Arslan Mumtaz
Islamabad, Pakistan
Mobile App Developer | Flutter Expert | iOS & Android Apps
    14
    Followers
Mobile App Developer | Flutter Expert | iOS & Android Apps
Cover image for Apply AI - Smart AI
Apply AI - Smart AI solutions to automate your workflow. About the Project : Apply AI is a smart web platform designed to simplify the job application process through artificial intelligence. It helps users create optimized resumes and personalized cover letters while suggesting relevant job opportunities based on their skills. The design focuses on a clean, modern interface with a smooth user experience, making it easy for users to quickly build professional applications and improve their chances of getting hired. Overview : This project is a modern AI-powered job application platform that focuses on improving the way users apply for jobs. It allows users to create professional resumes, generate tailored cover letters, and receive smart recommendations based on their skills and experience. The main purpose of this project is to make the application process faster, easier, and more effective through a clean design and intuitive user experience. 📩 Available for SaaS , AI Mobile Apps, Dashboards as a Full Stack AI Engineer. 👉 Book a call: https://calendly.com/mehditechnologiesofficial (https://calendly.com/mehditechnologiesofficial)👉 Behance: https://www.behance.net/mehdi_technologies 👉 Portfolio: https://www.mehditechnologies.com/case-studies Check it Out (https://www.behance.net/gallery/247156065/Apply-AI-AI-Resume-Job-Platform)
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Cover image for Published my first Component on
Published my first Component on Framer! https://founderscomponent.framer.website/ Founders Team is a modern, editorial-style Framer component designed to showcase startup founders, leadership teams, and key team members in a clean and professional layout. Each profile combines the member's name, role, short bio, and expertise tags, creating a structured team section that feels more premium than a traditional team grid. Perfect for SaaS companies, startups, AI businesses, agencies, and technology brands looking for a distinctive way to introduce their team.
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Cover image for Hey Framer community! 👋 I'm here to
Hey Framer community! 👋 I'm here to learn, share what I build, exchange ideas, and connect with other designers and developers who are pushing the boundaries of what's possible with Framer. If you're building something interesting with Framer or need a developer who enjoys solving complex challenges I'd love to connect. What are you currently building with Framer ?
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Cover image for 🚧 New Framer Template Coming Soon. I'm
🚧 New Framer Template Coming Soon. I'm working on a premium Cleaning Services template built entirely in Framer. Designed for business owners who want to move beyond slow WordPress sites and launch a faster, cleaner, and more modern web presence. ✨ Clean & elegant design 📱 Fully responsive 🧩 Ready-to-use menu & footer components 💼 Built with real service businesses in mind ✅ Already approved by one of my clients If you're planning to move from WordPress → Framer, this template is for you. Launching soon. Stay tuned.
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AI Model Developer(1)
Arham Malik's avatar
Arham Malik
Rawalpindi, Pakistan
Backend & AI engineer who ships systems fast and scale.
Backend & AI engineer who ships systems fast and scale.
Cover image for SnapReceipt AI is basically a
SnapReceipt AI is basically a smart receipt scanner. You take a photo of a receipt, and my system uses OCR plus LLM prompt engineering to pull out the merchant, total, date, and category. No manual typing. I built the backend with Django and used MongoDB so the data schema can be flexible because receipts come in all shapes and sizes. It cuts down about 90% of manual expense tracking work. The dashboard lets you search and export everything. Super practical for anyone tired of spreadsheets. For more details, please visit: https://arham-nexus.vercel.app/work/snapreceiptai
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Cover image for This is a classic enterprise
This is a classic enterprise academic portal, but built solid. It uses  Web Forms, ASP.NET, C#, and SQL Server. The main challenge was role based access control because you have admins, faculty, TAs, and lab demonstrators all needing different permissions. I designed a three tier architecture with stored procedures and optimistic concurrency control so data doesn’t get messed up when people edit at the same time. Over 200 users per semester use it for task assignments and progress tracking. It’s not flashy, but it works perfectly. For more details, please visit: https://arham-nexus.vercel.app/work/talabportal
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Cover image for Skill Swap is a peer
Skill Swap is a peer to peer learning platform where you can be both a student and a teacher. I built the backend with Java Spring Boot, real time chat with WebSockets, and video calls with WebRTC. The matching algorithm finds people based on skills, ratings, and availability. You can switch roles anytime. It also has a trust based review system so fake reviews don’t ruin it. This was an MVP, but it proved that real time learning communities can work really well. For more details, please visit: https://arham-nexus.vercel.app/work/skillswap
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Cover image for This is a native Android
This is a native Android app I built with Kotlin and Firebase. It connects tourists with verified local guides in real time. You open the app, see nearby guides, book a tour, and then you can track each other’s location live using Google Maps. I also added offline support because travel doesn’t always have perfect internet. Over 100 active users ended up using it,during the MVP. The best part? Battery usage was optimized so your phone doesn’t die halfway through the day. Really proud of how smooth it turned out. For more details, please visit: https://arham-nexus.vercel.app/work/raaheraast
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AI Model Developer(1)
Bilal Aleem's avatar
Bilal Aleem
Islamabad, Pakistan
AI Automation Expert | n8n | Make .com | LLM Integration
AI Automation Expert | n8n | Make .com | LLM Integration
Cover image for Designed and built Aixen AI
Designed and built Aixen AI a unified communication and lead management platform powered by multiple LLMs working in coordination. The system monitors and manages inbound leads across email, Instagram DM, WhatsApp, and Telegram simultaneously. Each channel has a dedicated AI agent that reads incoming messages, understands context and intent, generates appropriate responses, and escalates or routes leads based on qualification criteria. A central Lead Manager Agent maintains a live unified inbox view deduplicating contacts across channels, tracking conversation history, and scoring lead quality in real-time. Sales-ready leads are pushed to the CRM with a full conversation summary automatically. The client — a digital marketing agency — replaced a 4-person response team with this system, achieving sub-2-minute response times across all channels 24/7. Built on n8n with GPT-4o, Claude, and WhatsApp Business API.
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Cover image for Built ZetAI — a fully
Built ZetAI — a fully functional AI-powered voice agent that listens to spoken commands and executes real business tasks autonomously. Unlike basic voice assistants that just answer questions, ZetAI takes action: scheduling meetings in Google Calendar, sending emails with AI-drafted content, creating tasks in Notion or Airtable, pulling live data from CRMs, and triggering n8n automation workflows — all from a single voice command. The agent uses a speech-to-intent pipeline: voice input is transcribed, the intent is classified by an LLM, the appropriate tool or workflow is selected, executed, and a voice confirmation is sent back to the user. Supports multi-step commands like "Find my last 3 unpaid invoices, draft a follow-up email for each, and schedule reminders for Friday." Designed as a personal business operating system for founders and executives who want to run their entire operation hands-free.
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Cover image for Built ZetaFin — an intelligent
Built ZetaFin — an intelligent financial tracking and reporting system that gives business owners a real-time view of their Profit & Loss without touching a spreadsheet. The system connects to the client's revenue sources (Stripe, PayPal, bank feeds), expense trackers, and invoicing tools, then automatically categorizes every transaction using AI, calculates live margins, flags anomalies, and generates a clean P&L report delivered to the client's inbox every Monday morning. An AI analysis layer adds context to every report — explaining why revenue increased or dropped, which expense categories are trending up, and what actions the owner should consider. Built entirely on n8n with OpenAI for financial analysis and Google Sheets as the live dashboard. The client — an e-commerce founder — went from spending 3 hours every week manually reconciling finances to receiving a fully analyzed, actionable report automatically.
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Cover image for Built a production AI voice
Built a production AI voice calling agent that autonomously pre-qualifies leads over the phone — no human needed on the line. The agent calls prospects from an enriched list, conducts a natural qualification conversation using a fine-tuned voice AI model, extracts key intent signals from the call, scores each lead as Hot / Warm / Cold, and instantly routes qualified leads to the sales team via CRM update and Slack notification. The entire workflow from list upload to qualified lead delivery — runs inside n8n. The client's sales team went from spending 6 hours per day on cold pre-qualification calls to receiving only pre-scored, context-rich leads ready to close. Call transcripts and scores are logged automatically for every single dial. Integrated with: Vapi (voice AI), n8n (workflow), HubSpot (CRM), Slack (alerts).
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AI Model Developer(1)
Shaheer Zafar's avatar
Shaheer Zafar
Islamabad, Pakistan
ML Engineer + AI Expert: Precision Python Solutions
ML Engineer + AI Expert: Precision Python Solutions
Cover image for Shaheerzafar5/YOLOv8-Classification-On-Custom-Dataset-Recipe-In…
Shaheerzafar5/YOLOv8-Classification-On-Custom-Dataset-Recipe-In…
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Cover image for Shaheerzafar5/Recipe-llama-2-7b-custom-2k
Shaheerzafar5/Recipe-llama-2-7b-custom-2k
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Cover image for Shaheerzafar5/News_Head-Line-Sarcasm-Detection
Shaheerzafar5/News_Head-Line-Sarcasm-Detection
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