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English
$
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I will do computer vision, object detection, segmentation, and ocr using yolo
ML, AI, Computer Vision, Full Stack Developer
I am a Full-Stack Developer and AI Engineer specializing in building intelligent, production-ready web applications. With deep expertise in React, Next.js, and the MERN stack, I create fast, responsiv...
About this Gig
Are you looking to build high-performance AI and Computer Vision solutions? You are in the right place!
I am a professional developer specializing in creating custom Deep Learning pipelines to solve complex visual problems. From real-time multi-object tracking to precise image segmentation and high-accuracy document OCR, I deliver clean, optimized, and production-ready Python code.
Whether you are building a smart monitoring system, analyzing medical imagery, or automating data extraction, I can help you preprocess your data, train state-of-the-art models, and deploy them seamlessly.
️ My Technical Expertise
- Object Detection & Tracking: YOLO (v8, v9, v11), DeepSORT, OpenCV
- Image Segmentation: Instance, Semantic, and Panoptic Segmentation
- OCR Systems: Document analysis and text extraction using Tesseract, EasyOCR, and PaddleOCR
- Deep Learning Frameworks: PyTorch, TensorFlow, Keras
- Interactive Dashboards: Custom web interfaces built with Streamlit, Gradio, React, or Next.js
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
Frameworks:
Scikit-learn
•
DeepPy
•
SimpleCV
•
PyTorch
•
Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Do You speak english?
Yes.
Do you assist with dataset annotation?
Yes! If you have raw, unlabelled images or videos, I can guide you on the best annotation tools or handle the bounding box/polygon labeling process for your custom classes as an extra service.
Can you deploy the AI model to a website or cloud server?
Absolutely. I can deploy your model on cloud platforms (AWS, Heroku, or Vercel), wrap it into a fast API using FastAPI, or build a clean frontend dashboard using Streamlit or Next.js so you can easily upload and visualize predictions.
