I will build ai computer vision and opencv applications


About this gig
Welcome! I'm an AI and Computer Vision developer with hands-on experience building intelligent, real-world solutions using Python, OpenCV, YOLO, TensorFlow, PyTorch, and Deep Learning.
I specialize in developing custom computer vision applications such as object detection, image processing, video analytics, face detection, image classification, OCR, and AI automation. One of my flagship projects, VisionAid AI, is a real-time assistive system designed to help visually impaired individuals by detecting objects, estimating distances, and providing voice guidance.
Whether you need a prototype, research project, startup MVP, or a production-ready AI solution, I can build scalable, well-documented, and efficient software tailored to your requirements. I focus on writing clean code, delivering reliable results, and maintaining clear communication throughout the project.
My services include:
Computer Vision & OpenCV
YOLO Object Detection
Deep Learning & Machine Learning
Image & Video Processing
Python Development
AI Automation & Custom AI Solutions
Let's transform your idea into a powerful AI application!
Get to know Ashad
Machine Learning, computer vision Specialist
- FromIndia
- Member sinceJul 2026
Languages
English, Hindi
My Portfolio
FAQ
What information do you need before starting the project?
I need a clear project description, your objectives, sample images/videos (if applicable), preferred technologies, expected output, and any specific requirements or deadlines.
What technologies do you use?
I work with Python, OpenCV, YOLO, TensorFlow, PyTorch, Scikit-learn, Flask, FastAPI, and other AI and Computer Vision frameworks depending on your project.
Can you build custom AI and Computer Vision solutions?
Yes. I develop fully customized AI solutions, including object detection, image processing, video analytics, OCR, face recognition, tracking, and deep learning models.
Can you improve or fix an existing AI project?
Yes. I can debug, optimize, retrain models, improve accuracy, add new features, and enhance existing Computer Vision or Machine Learning applications.

