I will build custom yolo object detection models with fastapi deployment
ML Engineer NLP Computer Vision PyTorch
About this Gig
Struggling with object detection, image segmentation, or real-time tracking?
I build end-to-end computer vision solutions from training custom YOLO models to deploying them via FastAPI, Streamlit, or edge devices.
WHAT I DELIVER:
- Object Detection & Tracking (YOLOv8/v10, RT-DETR)
- Instance/Semantic Segmentation & Classification
- Real-time Video Processing (live camera streams, video files)
- OCR & Document Analysis (EasyOCR, Paddle OCR)
- Industry Solutions (QC/Defect detection, counting, zone analytics)
- Full Deployment (FastAPI, Flask, Docker, Streamlit, Raspberry Pi, Jetson)
WHY CHOOSE ME:
- Production-Ready Code (clean, documented, modular)
- Deployed Live Projects: Motor Fault Diagnostics | SMS Spam Classifier
- You can Check it out here https://huggingface.co/spaces/b098
- Hardware Optimized (GPU servers to edge devices)
- Full Support Until It Works in Your Environment
TECH STACK:
Python, PyTorch, YOLOv8/v10, OpenCV, FastAPI, Docker, TensorFlow, Scikit-learn, Streamlit
TYPICAL DELIVERY:
5-7 days | Custom quotes for complex projects
ORDER NOW for immediate consultation, or message me with your requirements first.
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FAQ
1. What do you need from me to start the project?
To provide the best results, I typically need the objective of your project, a sample of the images or videos you want to process, and, if available, an annotated dataset. If you don't have a dataset, we can discuss how to collect and label one.
2. Which frameworks and tools do you use?
I primarily work with Python and utilize industry-standard libraries and frameworks, including OpenCV, YOLO (v8/v10), PyTorch, TensorFlow, and EasyOCR. I choose the best tools based on your specific performance requirements and hardware constraints.
3. Do you provide the source code?
Yes! You will receive clean, modular, and well-commented Python code. I ensure that my code is easy to understand, maintain, and integrate into your existing systems.
4. Can you help me with model deployment?
Absolutely. Whether you need your model to run on a local machine, a web server (using Flask/FastAPI), or an edge device, I can guide you through the deployment process to ensure it works in your target environment.
5. Why should I contact you before placing an order?
Computer Vision projects can vary significantly in complexity, data requirements, and compute needs. Discussing your project first helps me assess feasibility, suggest the right approach, and provide you with a custom offer that fits your specific needs and timeline perfectly.

