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$
USD
I will build an ai powered app for machine learning processing and visualisation
Ola
About this gig
Looking to automate data collection, process visual data in real time, and display insights on a custom dashboard? You are in the right place!
I specialise in building end-to-end, AI-powered web apps that collect, analyse, and visualise data using computer vision and machine learning.
What I Offer:
- AI & Computer Vision: Object detection, face recognition, and tracking using YOLO, CNNs, and custom models.
- Data Processing: OpenCV image processing, automated transformation, and custom logic.
- Full-Stack Apps: Clean dashboards built on Python backends (Django/Flask).
- Cloud & Databases: Deployment on Azure/AWS with PostgreSQL, MySQL, SQL Server, and cloud storage (S3/Azure Blob).
- Real-Time Visualisation: Live feeds, dynamic charts, and analytics.
How It Works:
- Requirements: We map out your goals and data sources (live feeds, uploads).
- Development: I build the vision pipelines, backend logic, and models.
- Deployment: Thoroughly tested and deployed to your cloud platform.
Please send me a message before ordering so we can discuss your project requirements, timeline, and deliverables!
Get to know Ola
Ola
PhD Systems Design Engineer, Edge AI and ML Developer, Computer Vision, XR
- FromUnited Kingdom
- Member sinceFeb 2014
- Last delivery7 years
Languages
English
Senior developer, PhD, and 3D artist specializing in ML, computer vision, and edge AI.
• Core: PhD in Wireless Sensor Networks—building edge AI for autonomous data aggregation.
• AI & Vision: Machine learning apps, computer vision (PyTorch, OpenCV), Agentic AI, NVIDIA DGX Spark.
• Engineering: ASP.NET C#, Python (FastAPI), Azure, microservices.
• Creative: ZBrush, Blender, Three.js/WebGL, Unity VR/AR (Meta Quest 3).
20+ years bridging advanced AI research, real-time computer vision, and production engineering.
My Portfolio
FAQ
Do I need to provide a dataset for the AI model?
Ideally, yes. However, if you do not have one, we can use pre-trained models (like standard YOLO architectures) or discuss strategies to gather and annotate the data you need.
Which cloud platforms do you support for deployment?
I work primarily with Microsoft Azure (Azure App Service, Azure Blob Storage). However, I have used AWS (EC2, S3) in past projects.
Can your app process live video feeds in real time?
Yes. I can integrate live camera streams or RTSP feeds using OpenCV and optimised computer vision models for fast, low-latency processing and live visualisation.
Will I receive the source code upon project completion?
Yes, full ownership of the source code, custom model weights, and setup documentation will be delivered to you upon project sign-off.
Do you offer support or maintenance after the project is completed?
Yes. Every order includes a complimentary post-delivery support period (14 days Standard, 30 days for Enterprise apps) to fix any bugs or assist with setup. Extended monthly maintenance and feature update retainers can also be arranged.
