You will get a Computer Vision project using Machine Learning, Deep Learning, Open Cv
Project details
Hey, if you're searching for someone to complete any Python-based Machine Learning, Deep Learning, Computer Vision task or project for you, you've come to the perfect place.
My Expertise with Computer Vision and Deep Learning
✔Object Detection ✔ Image Classification ✔ Image Captioning
✔ Image Stitching ✔ Image Super Resolution ✔Face Super Resolution ✔Art Generation ✔ Pose Estimation ✔Face Detection ✔Image Segmentation ✔Video Activity Recognition ✔Object Segmentation
✔ Face Recognition ✔Emotion Detection ✔GANs
✔ CNN ✔Style Transfer ✔Key Point Detection
Note
Please contact me before placing your order
My biggest priority is deliver quality work to client.
deliver quality work to my future client!
My Expertise with Computer Vision and Deep Learning
✔Object Detection ✔ Image Classification ✔ Image Captioning
✔ Image Stitching ✔ Image Super Resolution ✔Face Super Resolution ✔Art Generation ✔ Pose Estimation ✔Face Detection ✔Image Segmentation ✔Video Activity Recognition ✔Object Segmentation
✔ Face Recognition ✔Emotion Detection ✔GANs
✔ CNN ✔Style Transfer ✔Key Point Detection
Note
Please contact me before placing your order
My biggest priority is deliver quality work to client.
deliver quality work to my future client!
What's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 2 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
28 reviews
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NP
Nirav P.
May 12, 2026
AI Solutions Architect for Enterprise LLM & Automation Initiative
Ketan delivered a solid AI discovery and architecture consultation for our internal AI assistant initiative. He quickly understood our workflows, identified automation opportunities, and provided practical recommendations around LLM integration, RAG architecture, and scalable implementation planning.
Communication was professional throughout the project, and the final report was well-structured with clear next steps and technical direction. The engagement helped us better understand how to approach AI adoption strategically rather than just experimenting with tools.
Would recommend for AI consulting, automation strategy, and enterprise AI architecture work.
Communication was professional throughout the project, and the final report was well-structured with clear next steps and technical direction. The engagement helped us better understand how to approach AI adoption strategically rather than just experimenting with tools.
Would recommend for AI consulting, automation strategy, and enterprise AI architecture work.
DD
Davide D.
Mar 14, 2026
Machine Learning Engineer – Ophthalmology Support Platform
After few weeks of work where one of their programmers did not produce any valuable contribution, I communicated that I was dissatisfied by their work and I did not want to pay for their services. Ketan's partner communicated to me that because of this, they will not respect the NDA they signed and will commercialize the code shared with his team.
AG
Aaryan G.
Sep 29, 2025
Prompt Engineering SME Needed for Question Creation and Review
FF
Fadi F.
Aug 28, 2025
Deploy DeepSeek-R1 AI Model in Debug Mode on Azure
Ketan and his team are simply amazing to work with. It was a truly enjoyable experience. Everyone's on Ketan's team is smart, knowledgeable, and offers plenty of courtesy and goodwill. The team made sure that we were satisfied with the work every step of the way. I look forward to working with the team again.
MC
Mayer C.
Aug 20, 2025
Expert Prompt Engineer
Great to work with!
About Ketan
AI Solutions Architect & Enterprise AI Strategist (LLM, Automation)
86%
Job Success
Ahmedabad, India - 12:46 pm local time
Most enterprises waste 6–18 months building AI that never ships. I architect AI systems that go from strategy
to production — fast.
𝐖𝐇𝐀𝐓 𝐈 𝐃𝐎
I help mid-market and enterprise companies turn 𝐀𝐈 𝐚𝐦𝐛𝐢𝐭𝐢𝐨𝐧𝐬 𝐢𝐧𝐭𝐨 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐨𝐮𝐭𝐜𝐨𝐦𝐞𝐬.
Whether you need an end-to-end AI roadmap, a production-grade LLM pipeline, or a custom
automation strategy — I deliver systems that actually scale.
𝐑𝐄𝐒𝐔𝐋𝐓𝐒 𝐈'𝐕𝐄 𝐃𝐄𝐋𝐈𝐕𝐄𝐑𝐄𝐃
Reduced manual processing time by 70%+ using AI workflow automation
Built LLM-powered enterprise tools serving 10,000+ internal users
Designed AI architectures that cut operational costs by 40%
Delivered AI strategy roadmaps adopted by C-suite leadership
Integrated Generative AI across sales, ops, and customer service pipelines
𝐌𝐘 𝐂𝐎𝐑𝐄 𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒
Enterprise AI Strategy & Roadmap Design
LLM Integration (GPT-4, Claude, Gemini, open-source models)
AI Architecture Design & System Design
Generative AI Product Development
Intelligent Automation & Workflow Optimization
AI Consulting for CTOs, VPs of Engineering & Product Teams
RAG (Retrieval-Augmented Generation) System Design
AI Agent Development & Orchestration
𝐖𝐇𝐎𝐌 𝐈 𝐖𝐎𝐑𝐊 𝐖𝐈𝐓𝐇
I partner with enterprises, scale-ups, and VC-backed startups that are serious about deploying AI — not just
talking about it. My clients include technology companies, financial services firms, healthcare platforms,
construction platforms and SaaS businesses.
𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐂𝐇𝐎𝐎𝐒𝐄 𝐌𝐄
I don't just recommend tools — I design architectures. I bridge the gap between AI research and real-world
enterprise deployment. Every engagement starts with your business problem, not the tech.
𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐰𝐨𝐫𝐤𝐬? →
Send me a message with your use case, and I'll respond within 24 hours
Steps for completing your project
After purchasing the project, send requirements so Ketan can start the project.
Delivery time starts when Ketan receives requirements from you.
Ketan works on your project following the steps below.
Revisions may occur after the delivery date.
Scope of the project
The project's goal and the right data set are chosen at this step.
Data Preprocessing and Model Training
The model will be trained using the provided dataset