I will build a computer vision ai mvp or poc or web app for your idea
Computer Vision Engineer: Video Analytics For Surveillance, Safety and Sports
About this Gig
I am a Full-Stack Computer Vision Engineer specializing in turning raw AI concepts into production-ready Proof of Concepts (POCs) and Minimum Viable Products (MVPs). I dont just write Python scripts; I build deployable AI architectures.
What I Can Build For Your Startup/Business:
- Sports & Fitness Analytics: Pose estimation for form tracking (MediaPipe) , player/ball tracking.
- Smart Surveillance MVP: Real-time fire, shoplifting, or intrusion detection (RTSP/CCTV).
- Retail & Automation: Customer behavior analysis and ANPR/OCR systems.
Why Choose Me? Instead of hiring a separate AI researcher and backend dev, I do both. I integrate complex deep learning models (YOLO, OpenCV, PyTorch) with scalable backends (FastAPI, Docker, Streamlit) to deliver a working product you can actually demo.
My Tech Stack: Python, PyTorch, YOLOv8, OpenCV, FastAPI, Docker, AWS/GCP, WebSockets.
Lets validate your idea. Message me before placing an order so we can define your technical requirements and timeline!
Programming language:
Python
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MATLAB
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Colab
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MLflow
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Amazon SageMaker
Tools:
Jupyter Notebook
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OpenCV
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OpenNN
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TensorFlow
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CVAT
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Colab
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PyTorch
Frameworks:
Scikit-learn
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SimpleCV
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Keras
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PyTorch
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Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
I have an idea but no data. Can you still build an MVP?
Yes! For a Proof of Concept, I can often use open-source datasets or pre-trained models to validate your idea before you invest in custom data collection.
Will you sign an NDA to protect my startup idea?
Absolutely. I am happy to sign an NDA before we discuss the specifics of your proprietary idea or business logic.
Can your MVPs process live camera feeds?
Yes. I specialize in real-time video analytics and can integrate with IP cameras, RTSP streams, and live video feeds with low-latency.
Do you build the user interface (UI) as well?
For MVPs, I typically build a functional, clean web dashboard using Streamlit or provide a FastAPI backend that your front-end developers can easily connect to.

