I will develop custom computer vision and object detection in python for real world use

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md_naim_mia
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md_naim_mia
Naim

About this gig

Limited-Time Introductory Pricing for Early Clients! (Current prices are heavily discounted for the first 3 orders. Lock in this rate now!)

I develop AI Attendance Systems & Computer Vision apps using Python. My portfolio project turns standard webcams into advanced security tools using YOLOv8, InsightFace & DeepSORT.

CORE FEATURES (Attendance & Security):

  • Smart Verify: Face/QR check-in with liveness detection.
  • Watch Mode: Real-time tracking, unknown person & "Suspicious" alerts.
  • Payroll: Auto-calculate work hours, overtime & Excel exports.
  • Admin Panel: Manage employees, blacklists & analytics.

CUSTOM AI SOLUTIONS: I also build tailored applications for:

  • Traffic: Vehicle counting, speed & wrong-way detection.
  • Retail/Safety: Footfall counting & PPE (Helmet/Vest) monitoring.
  • Manufacturing: Defect detection (Requires annotated dataset).
  • Tracking: Logistics & custom object detection.

SERVICES: AI Fine-tuning: Train YOLO/CNN on custom data. Chatbot: RAG/Text-to-SQL bot integration. Deployment: Live setup on AWS/Azure/VPS with Docker. API Integration: Connect with 3rd party apps.

Bonus: User Manual + Video Guide included.

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Get to know Naim

Naim

AI Research Engineer

5.0(1)
  • FromBangladesh
  • Member sinceMar 2025
  • Avg. response time1 hour
  • Last delivery1 month
  • Languages

    Bengali, English
Hi, I’m Naim. I am an AI Research Engineer bridging the gap between complex research and real-world software. My work on Drone-Assisted AI was recently accepted at the IEOM Conference. I don't just train models; I build deployable systems. My Expertise: 1. Computer Vision: Real-time Face Recognition, YOLO, InsightFace, YuNet, DeepSORT & Edge AI. 2. Generative AI: Privacy-first Local LLMs (RAG) & Chatbots. 3. Full-Stack AI: From Python scripts to interactive Streamlit dashboards. If you need robust, research-grade AI solutions—not just basic scripts—let’s connect.