You will get Custom Computer Vision Model Development | TensorFlow, OpenCV, Python
Project details
I design and develop tailored Computer Vision solutions aligned with your business objectives using Python, TensorFlow/PyTorch, and OpenCV to build scalable, production-ready systems.
The process covers requirement analysis, dataset preparation, preprocessing, model architecture design, training, optimization, and deployment. Structured data preparation and validation ensure reliable and accurate performance.
Based on project complexity, I implement CNNs, transfer learning, or custom deep learning architectures. Model performance is evaluated using key metrics such as precision, recall, F1-score, and accuracy.
You will receive a deployment-ready model in your preferred format (.h5, .pb, .pt, etc.), along with training and inference scripts, a reproducible preprocessing pipeline, and integration support.
This framework is suitable for object detection, classification, pose estimation, tracking, and video analytics projects.
The process covers requirement analysis, dataset preparation, preprocessing, model architecture design, training, optimization, and deployment. Structured data preparation and validation ensure reliable and accurate performance.
Based on project complexity, I implement CNNs, transfer learning, or custom deep learning architectures. Model performance is evaluated using key metrics such as precision, recall, F1-score, and accuracy.
You will receive a deployment-ready model in your preferred format (.h5, .pb, .pt, etc.), along with training and inference scripts, a reproducible preprocessing pipeline, and integration support.
This framework is suitable for object detection, classification, pose estimation, tracking, and video analytics projects.
Machine Learning Tools
deeplearn.js, Deeplearning4j, OpenCV, PythonWhat's included
| Service Tiers |
Starter
$5,000
|
Standard
$8,000
|
Advanced
$12,000
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 30 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Kuldeep
AI & ML Engineer
Mohali, India - 6:00 am local time
What I Can Do for You :
AI Chatbots & Virtual Assistants :
Customer support, lead-gen, and knowledge bots using GPT-4/Claude, plus fine-tuned LLMs and multi-agent systems.
Natural Language Processing (NLP) :
Text classification, sentiment analysis, Q&A systems, document pipelines, and search/recommendation engines.
Computer Vision Solutions :
Image recognition, OCR for documents/invoices, face detection, defect tracking, and surveillance AI.
Custom AI Applications :
End-to-end AI apps, smart analytics dashboards, and workflow automation using Python, n8n, and Zapier.
API & System Integrations :
Seamless CRM/ERP/e-commerce integrations with FastAPI/Flask, deployed on AWS, GCP, and Docker.
Whether you are looking to build a custom AI solution, analyze large datasets, create a smart assistant, or integrate AI into your existing platform, I bring a deep technical foundation and a problem-solving mindset to every project.
📩 Let’s talk about your project. Whether it’s a chatbot, predictive model, or full-scale AI system, I’ll help you build something your users love and your team can rely on.
Cheers!
Steps for completing your project
After purchasing the project, send requirements so Kuldeep can start the project.
Delivery time starts when Kuldeep receives requirements from you.
Kuldeep works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Discussion & Data Collection
Client purchases the project and shares detailed requirements, datasets, and expected outcomes.
Data Preparation & Model Development
I prepare and preprocess the dataset, design the appropriate model architecture, and begin training and optimization.