You will get Multi-Camera Video Analytics Dashboard

Project details
Build a real-time multi-camera video analytics dashboard. Detect objects, track movement, and generate alerts from multiple RTSP streams. Optimized GPU pipelines for low-latency inference. Perfect for security, traffic monitoring, or industrial environments. Fully containerized for easy deployment.
What's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
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UU
Umer U.
Feb 5, 2026
Backend Engineer with AI Integration Experience (Short-Term Task)
About Yousaf
AI Engineer | Claude, OpenAI and LLM | AI Agents, Automation & Python
Lahore, Pakistan - 4:37 pm local time
𝐖𝐡𝐨 𝐈 𝐀𝐦
I am an AI/ML Engineer and Automation Specialist with deep expertise in machine learning, large language models (LLMs), AI agents, workflow automation, and Python development. I don't just write code, I understand business operations, ask the right questions, and deliver production-ready systems that solve real problems.
My background spans custom AI/ML solutions, conversational AI, predictive models, backend development, and end-to-end automation pipelines. I have successfully delivered AI-powered platforms for service businesses, agencies, clinics, manufacturing operations, and e-commerce companies.
𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨
𝟏. 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 – Predictive analytics, classification, recommendation systems, anomaly detection, custom ML pipelines, and fine-tuning LLMs (Llama, Mistral, OpenAI) on proprietary data.
𝟐. 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 – LLM-powered applications, autonomous AI agents, RAG (retrieval-augmented generation), function calling, and tool use with OpenAI GPT-4o, Claude, Gemini, and Llama.
𝟐. 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 – Inbound/outbound voice agents (VAPI, Retell AI, Twilio), AI chatbots for websites, WhatsApp, Slack, and SMS, plus omnichannel AI assistants with unified context.
𝟒. 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 – n8n, Make, and Python-based automations connecting CRMs, databases, email, Slack, and hundreds of other tools. AI-powered workflows using LLMs for classification, extraction, and content generation.
𝟓. 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 – RESTful APIs, data pipelines (ETL), web scraping, custom automation scripts, and backends for AI applications using FastAPI, Django, or Flask.
𝐑𝐞𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐈 𝐇𝐚𝐯𝐞 𝐁𝐮𝐢𝐥𝐭
𝐒𝐨 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐌𝐨𝐛𝐢𝐥𝐞 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐜 – AI-infused mobile application and operational platform including dispatch, customer tracking, automated notifications, and backend dashboards.
𝐀𝐥 𝐀𝐫𝐚𝐛𝐢 𝐂𝐨𝐦𝐩𝐚𝐧𝐲 – Dispatch system for operations and maintenance management with real-time job assignment, status tracking, and reporting.
𝐌𝐲𝐬𝐭𝐢𝐜𝐚𝐥 𝐀𝐠𝐞𝐧𝐜𝐲 & 𝐈𝐧𝐭𝐞𝐫𝐨 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 – AI automation and proposal generation systems that reduced proposal creation time from two days to under two hours.
𝐂𝐥𝐢𝐧𝐢𝐜 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 – AI chatbot for appointment booking, prescription reminders, FAQs, and patient follow-ups, fully integrated with their scheduling system.
𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞 – Custom ML model for product recommendations based on browsing and purchase history.
Each of these systems typically includes AI/ML models, AI agents, automation pipelines, mobile apps, dashboards, and backend integrations.
𝐌𝐲 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐤
- Languages: Python (primary), JavaScript/Node.js, SQL
- ML & AI Frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, LlamaIndex
- LLMs: OpenAI GPT-4o, Claude, Gemini, Llama, Mistral
- Workflow Automation: n8n, Make, Zapier
- Voice AI: VAPI, Retell AI, Twilio
- Vector Databases: Pinecone, Weaviate, Chroma, FAISS
- Data & ETL: Pandas, NumPy, SQLAlchemy, Airflow
- Backend: FastAPI, Django, Flask, Node.js
- Databases: PostgreSQL, MySQL, MongoDB, Redis
- Cloud: AWS (SageMaker, Lambda, EC2), GCP (Vertex AI), Azure, Docker
𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤
I approach every project with a structured, collaborative process:
1- Discovery – I provide a clear checklist of inputs, decisions, and data needed from you.
2- Design & Build – I configure, develop, and test the system. For ML projects, I start with rapid prototyping.
3- Review & Revise – You test. I revise. We iterate until it's right.
4- Launch – I help you execute a clean cutover with minimal disruption.
5- Documentation – You receive clear documentation on what was built and how to maintain it.
𝐈𝐝𝐞𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬
- You are a great fit if you:
- Are a business owner, operations manager, product manager, or technical founder
- Have outgrown manual processes or disconnected tools
- Need AI/ML models for predictions, classification, recommendations, or anomaly detection
- Want AI voice agents, LLM-powered chatbots, or autonomous AI agents
- Need workflow automation across CRMs, databases, and messaging platforms
- Require custom software, backend systems, or mobile applications
- Want clear communication and on-time delivery
𝐋𝐞𝐭'𝐬 𝐓𝐚𝐥𝐤
If you are ready to bring AI/ML-powered automation into your operations, send me a message or invite me to your project.
I will reply within 24 hours with thoughtful questions and a clear path forward.
Steps for completing your project
After purchasing the project, send requirements so Yousaf can start the project.
Delivery time starts when Yousaf receives requirements from you.
Yousaf works on your project following the steps below.
Revisions may occur after the delivery date.
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