You will get YOLO Object Detection for Real-Time Video – Detect Any Object, Any Time 🚀

Ali M.Status: Offline
Ali M.

Let a pro handle the details

Buy Other AI & Machine Learning services from Ali, priced and ready to go.
Ali M.Status: Offline
Ali M.

Let a pro handle the details

Buy Other AI & Machine Learning services from Ali, priced and ready to go.

Project details

Looking to add real-time object detection to your business or app? I’ll build a high-performance YOLOv5/v8-based AI system that detects general or custom objects from live video streams, IP cameras, or video files — with pinpoint accuracy and blazing speed. Whether it’s for security surveillance, retail analytics, smart cities, or industrial automation, I’ll tailor the solution to your exact needs.

✅ Custom training for your object classes
✅ Fast, lightweight models optimized for real-time deployment
✅ Scalable code + clean API integration (Flask/FastAPI + Docker)
✅ BONUS: Tracking, alerting, analytics, or cloud deployment if needed

With 5+ years in Deep Learning & Computer Vision, top-rated status, and hands-on experience in production-grade CV systems, I don’t just deliver code — I deliver results. Let's bring your vision to life with AI that works, scales, and impresses.
AI Development Type
Deep Learning
AI Tools
Keras, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$80
Standard
$220
Advanced
$400
Delivery Time 3 days 5 days 7 days
Number of Revisions
123
AI Model Integration
Detailed Code Comments
Knowledge Graph
-
-
Model Documentation
-
Ontology
-
-
Source Code
Taxonomy
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$20 - $80
Additional Revision
+$20
Reduce one day delivery
+$20

Frequently asked questions

Ali M.Status: Offline

About Ali

Ali M.Status: Offline
AI & Automation Architect | LLM, CV, RAG & AI Agents
Lahore, Pakistan - 10:17 pm local time
𝐀𝐈 𝐬𝐡𝐨𝐮𝐥𝐝 𝐝𝐫𝐢𝐯𝐞 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 — 𝐧𝐨𝐭 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚𝐧𝐨𝐭𝐡𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐭𝐡𝐚𝐭 𝐧𝐞𝐯𝐞𝐫 𝐫𝐞𝐚𝐜𝐡𝐞𝐬 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧.

If you're struggling with unreliable LLM outputs, underperforming models, or AI systems that don’t scale, I help you turn complex AI ideas into production-ready, revenue-impacting solutions.

I am an AI & Automation Architect specializing in LLMs, RAG systems, AI agents, and Computer Vision pipelines. My focus is simple: build AI systems that solve real business problems and deliver measurable outcomes.

𝐏𝐫𝐨𝐯𝐞𝐧 𝐑𝐞𝐬𝐮𝐥𝐭𝐬

Improved LLM response accuracy by up to 40% using optimized RAG pipelines and retrieval strategies

Built real-time YOLO-based vision systems running at 30+ FPS with production deployment

Delivered NLP classification systems achieving 90%+ domain-specific accuracy

Designed scalable AI APIs using FastAPI and Docker for deployment-ready systems

Reduced inference latency through model optimization and architecture refinement

𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐌𝐞 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭

Most freelancers build models. I design systems.

That means:

Clear problem definition before model selection

Architecture-first thinking

Deployment and scalability from day one

Business-aligned performance metrics

Transparent communication throughout development

Whether you're a startup integrating AI into your SaaS product or a research team building advanced ML systems, I tailor every solution to your specific use case, constraints, and growth goals.

𝐂𝐨𝐫𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬

LLMs & Generative AI

RAG pipelines

AI agent systems

Prompt engineering and fine-tuning

Knowledge-based chatbots

𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧

YOLO object detection

Image segmentation (UNet, Mask R-CNN)

Object tracking systems

OCR and document intelligence

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭

Custom deep learning models

Transfer learning & optimization

FastAPI-based inference APIs

Dockerized production deployment

Workflow automation with n8n

𝐌𝐲 𝐏𝐫𝐨𝐜𝐞𝐬𝐬

Define measurable objectives

Design optimal AI architecture

Develop and rigorously validate models

Deploy scalable, production-ready systems

Optimize and iterate for long-term impact

You don’t just get a model. You get a working AI system designed to scale.

If you're ready to move from AI experimentation to AI execution, let's schedule a free consultation and define the smartest path forward for your project.

Steps for completing your project

After purchasing the project, send requirements so Ali can start the project.

Delivery time starts when Ali receives requirements from you.

Ali works on your project following the steps below.

Revisions may occur after the delivery date.

🔍 Requirement Gathering & Dataset Review

I’ll review your objectives, target objects, and video input sources. You can share images/videos or datasets if custom training is needed.

🛠️ Model Setup & Data Preparation

I prepare or clean the dataset, annotate if needed, and set up the YOLO training environment optimized for your use case.

Review the work, release payment, and leave feedback to Ali.