Freelancers using MATLAB in IslamabadFreelancers using MATLAB in Islamabad
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Farhan Khan's avatar
Farhan Khan
Rawalpindi, Pakistan
AI Specilist, AI Automation, Chatbots, Business, Workflow
New to Contra
AI Specilist, AI Automation, Chatbots, Business, Workflow
Cover image for Automated Video Dehazing & Atmospheric
Automated Video Dehazing & Atmospheric Haze Simulation System 🚀 Project Overview This advanced Computer Vision project is designed to address visibility challenges in adverse weather conditions. The system features a dual-module architecture: it can synthetically inject realistic atmospheric fog/haze into crystal-clear video streams for dataset generation, and conversely, restore heavily degraded, foggy videos into crisp, high-visibility outputs in real-time. 🛠️ Core Functionality & Modules Module 1: Atmospheric Haze Simulation Purpose: Generates synthetic datasets to train and benchmark object detection models (like YOLO) for bad weather conditions. How it works: Implements mathematical scattering models to calculate depth maps and overlay a realistic layer of dense fog or smoke over clean video frames. Module 2: Real-Time Video Dehazing Purpose: Restores clarity and vivid color to video streams captured in low-visibility environments. How it works: Leverages physics-based Computer Vision algorithms (such as Dark Channel Prior - DCP) or Deep Learning frameworks to estimate atmospheric light, eliminate transmission noise, and reconstruct the scene's original contrast. 🎯 Use Cases & Applications Autonomous Vehicles: Enhances the sight and reliability of self-driving car sensors in dense fog. Smart Surveillance (CCTV): Improves security monitoring and facial recognition accuracy under harsh outdoor weather. Drone Navigation: Aids aerial drones in safely navigating through smoke, dust storms, or low-lying clouds. 💻 Tech Stack Used Language: Python Libraries: OpenCV, NumPy, Matplotlib, PyTorch / TensorFlow (if deep learning was applied) Concepts: Image Processing, Atmospheric Scattering Models, Feature Restoration, Video Pipeline Optimization
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E-Assistant is an autonomous AI shopping agent designed to streamline the consumer decision-making process. By simultaneously querying multiple e-commerce platforms, it utilizes a proprietary value-ranking algorithm to provide real-time product comparisons based on price, rating, and review volume.
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40
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Automated Multi-Agent AI Support & Lead Triage Pipeline Are your high-ticket clients waiting hours for an email response? This intelligent multi-agent n8n workflow instantly screens, analyzes, and responds to customer emails in real-time, utilizing advanced RAG (Retrieval-Augmented Generation) to deliver human-like support instantly. Project Overview: This is an enterprise-grade AI automation system designed to eliminate manual customer support queues. Instead of simple auto-replies, it uses a multi-agent routing structure combined with a dynamic knowledge base to handle complex inquiries autonomously. How It Works (Under the Hood): Instant Inbound Triage: A Gmail Trigger catches incoming emails instantly, extracting raw content for processing. AI Intent Classification: An initial OpenAI model acts as a gatekeeper, analyzing the email to determine if it is a valid customer support request or irrelevant noise. Conditional Routing: An advanced router splits the path: non-support emails receive a polite automated Telegram update, while actual support tickets are routed to the main AI engine. Context-Aware AI Agent: The core Customer Support Agent is equipped with an OpenAI Chat Model, conversational memory, and a custom Vector Store Tool. Pinecone RAG Integration: The agent queries a Pinecone Vector Database (powered by OpenAI Text Embeddings) to fetch real-time, accurate company documentation and context, eliminating hallucinations. Automated Action & Response: Once the resolution is drafted, the system automatically creates a draft in Gmail for review and sends an instant internal notification via Telegram. Why This Wins Clients (The Value Pitch): Zero Hallucinations: Connected to a live vector database (Pinecone) so the AI only speaks from approved company data. Reduced Overhead: Cuts down customer support response times from hours to under 60 seconds. Production-Ready Architecture: Designed with modern n8n AI sub-nodes, structured tools, and modular scaling capabilities.
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Cover image for Real Time SMS Spam Detection/Classification
Real Time SMS Spam Detection/Classification System
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88
MATLAB(1)
Muhammad Usman's avatar
Muhammad Usman
Islamabad, Pakistan
End-to-End IoT, AI & Web3 Solutions | REPLA Tech
5.0
Rating
27
Followers
End-to-End IoT, AI & Web3 Solutions | REPLA Tech
Cover image for Website for Workflow AI
Website for Workflow AI Artificial Intelligence Company
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265
Cover image for Blockchain on Quantum AI ML
Blockchain on Quantum AI ML Model
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84
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FIAT To Crypto payment
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79
Cover image for TCI LMS | SaaS Platform for Tutors & Students
TCI LMS | SaaS Platform for Tutors & Students
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10
MATLAB(3)
Zahoor Ahmad 's avatar
Zahoor Ahmad
Rawalpindi, Pakistan
n8n Automation Engineer | Workflow & API Integrations
New to Contra
n8n Automation Engineer | Workflow & API Integrations
Cover image for AI business Assistant automation
AI business Assistant automation
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8
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Multi-Platform Video Auto-Poster with Smart Hashtags🚀
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56
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AI-Powered CRM Lead Automation – GoHighLevel + OpenAI😍
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99
Cover image for AI E-commerce Customer Support Automation
AI E-commerce Customer Support Automation
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3
MATLAB(3)
Syed Ali Haider's avatar
Syed Ali Haider
Islamabad, Pakistan
Tech is made simple by a skilled technical writer.
Tech is made simple by a skilled technical writer.
Cover image for Calculus and Statistics
Calculus and Statistics
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16
Cover image for Litrature Review of Classification and Prediction Techniques
Litrature Review of Classification and Prediction Techniques
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5
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Healthcare Content Sample
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11
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MATLAB(1)
Mohammad Osama's avatar
Mohammad Osama
Islamabad Capital Territory, Pakistan
Python | Vue.JS | Project Management | IoT
Python | Vue.JS | Project Management | IoT
Cover image for Drowsiness Detection System
Drowsiness Detection System
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32
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LoadStop
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19
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Cowlar Inc
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31
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MATLAB(1)
Abid Jamal's avatar
Abid Jamal
Islamabad, Pakistan
Blockchain Developer, Researcher
Blockchain Developer, Researcher
Cover image for Blockchain Research Project
Blockchain Research Project
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18
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Blockchain Web Scraper
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12
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Web3 Wallet Application
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5
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MATLAB(1)