You will get Computer Vision AI for Businesses | Automate, Detect & Optimize
Project details
Many businesses waste hours on manual monitoring, product inspection, or security checks. Human error, fatigue, and slow reaction times often lead to missed defects, safety risks, and reduced efficiency. Managing large video feeds or detecting issues in real time becomes nearly impossible without automation.
This project delivers a complete AI Object Detection & Tracking System that automates visual monitoring using Computer Vision and Deep Learning. By leveraging YOLO, OpenCV, TensorFlow, and PyTorch, the system detects multiple objects in real time — such as people, helmets, boxes, or machinery — and highlights them with confidence scores and bounding boxes. You can connect your CCTV, webcam, or industrial feed to start monitoring instantly.
You’ll receive a plug-and-play AI dashboard that provides live detection, tracking, and alerts, enabling faster decisions, improved accuracy, and reduced manual labor. Whether you need workplace safety automation, defect detection, or inventory tracking — this AI system saves time, cuts costs, and boosts operational efficiency.
This project delivers a complete AI Object Detection & Tracking System that automates visual monitoring using Computer Vision and Deep Learning. By leveraging YOLO, OpenCV, TensorFlow, and PyTorch, the system detects multiple objects in real time — such as people, helmets, boxes, or machinery — and highlights them with confidence scores and bounding boxes. You can connect your CCTV, webcam, or industrial feed to start monitoring instantly.
You’ll receive a plug-and-play AI dashboard that provides live detection, tracking, and alerts, enabling faster decisions, improved accuracy, and reduced manual labor. Whether you need workplace safety automation, defect detection, or inventory tracking — this AI system saves time, cuts costs, and boosts operational efficiency.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, Caffe, ChatGPT, Google AutoML, Keras, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, TensorFlow, Tesseract OCR, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$700
|
Standard
$2,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 12 days | 20 days | 30 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Custom Dataset Training
(+ 2 Days)
+$200
Cloud Deployment Setup
(+ 1 Day)
+$200
Integration with Existing System
(+ 3 Days)
+$300Frequently asked questions
About Arham
Healthcare AI Engineer | AI Agents, LLMs, RAG & Workflow Automation
Karachi, Pakistan - 5:44 pm local time
Most healthcare AI solutions fail because they're generic chatbots with limited functionality. I build production-ready AI systems that integrate with your workflows, handle real patient interactions, and scale as your practice or healthcare business grows.
**What I deliver:**
• AI Voice Agents for appointment scheduling, reminders, confirmations, cancellations, and follow-ups
• AI Receptionists that answer patient calls 24/7
• Patient Support AI for websites, WhatsApp, and SMS
• RAG-powered medical knowledge assistants
• Multi-Agent AI Systems for healthcare operations
• EHR/EMR integrations
• Clinical workflow automation
• Custom LLM applications built for real-world healthcare use
**How I work:**
**Phase 1:** Understand your healthcare workflow and identify automation opportunities.
**Phase 2:** Build a working prototype and validate it with real scenarios.
**Phase 3:** Deploy a production-ready AI system that integrates with your existing tools.
**Phase 4:** Continuously improve performance, add new capabilities, and scale alongside your business.
I don't build demos—I build AI systems that healthcare teams rely on every day.
**Who this is for:**
Healthcare startups, clinics, hospitals, telemedicine platforms, medical SaaS companies, and healthcare founders looking to automate operations and improve patient engagement.
**Who this isn't for:**
Businesses looking for a basic chatbot, quick fixes, or AI added to broken processes without a clear strategy.
**Technical expertise:**
Python • FastAPI • LangGraph • LangChain • OpenAI • Claude • Gemini • RAG • MCP • Vector Databases (Pinecone, ChromaDB, FAISS) • PostgreSQL • Twilio • ElevenLabs • Whisper • n8n • Docker • AWS • GCP
Whether you need an AI receptionist, a patient support assistant, or a complete multi-agent healthcare platform, I build secure, scalable AI solutions that deliver measurable business value.
Let's discuss how AI can transform your healthcare operations.
Steps for completing your project
After purchasing the project, send requirements so Arham can start the project.
Delivery time starts when Arham receives requirements from you.
Arham works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection & Model Setup
Gather client data or use pre-trained model for initial configuration.
Model Integration
Integrate AI model with real-time video feed for object detection.