Get a professionally trained machine learning or deep learning model, complete with FastAPI integration, full source code, and documentation — delivered from London by an experienced AI development team.
I Will Build a Custom AI/ML Model with FastAPI Deployment
A trained AI/ML model with FastAPI integration, source code, and documentation.
- Trained ML/DL model tailored to your task (classification, regression, NLP, or vision)
- FastAPI integration with a clean REST endpoint for real-time predictions
- Full source code included — no lock-in
- Model documentation covering architecture, inputs, outputs, and usage
- Research into your problem domain and data
- 3 revisions included
Extended scope with more delivery time and revisions — ideal for moderately complex models.
- Everything in the Starter tier
- Extended delivery window for more complex model architectures or datasets
- Support for advanced frameworks including transformer-based NLP models (BERT, GPT) or YOLO object detection
- FastAPI deployment with additional endpoint configurations as needed
- 5 revisions included for thorough refinement
- Full source code and updated model documentation
Full-scale AI/ML project delivery covering complex pipelines, deployment, and end-to-end integration.
- Everything in the Standard tier
- Full end-to-end AI pipeline — from EDA and data analysis through to trained model and live API
- Support for complex multi-task or multi-modal architectures (NLP, computer vision, forecasting)
- Model deployment configuration for production environments including AWS EC2
- Comprehensive model documentation and deployment guide
- Full source code with clean, maintainable structure
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Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
Model Deployment
Frameworks Covered
Deliverables Included
Turnaround & Revisions
What You'll Receive
Full Description
If you need a machine learning or deep learning model that actually works in production — not just a notebook — this is the service for you. You will receive a fully trained AI model tailored to your specific problem, integrated with a FastAPI endpoint so it can accept real-world inputs and return predictions immediately. Everything is handed over with clean source code and clear documentation.
This service covers the full breadth of modern AI and ML development. Whether your project involves structured tabular data, natural language, or images, the work is grounded in proven frameworks and techniques used by professional engineering teams.
**What is included in every tier:**
• Thorough research into your specific problem domain and data characteristics
• A trained model built using Keras, TensorFlow, or transformer-based architectures (BERT, GPT, and others) depending on what your task demands
• FastAPI integration so your model is accessible via a clean REST endpoint
• Full source code — no black boxes, no lock-in
• Model documentation covering architecture decisions, inputs, outputs, and usage instructions
**Capability areas covered:**
— Machine Learning and Deep Learning: classification, regression, and forecasting using Keras and TensorFlow
— Natural Language Processing: text classification, sentiment analysis, named entity recognition, and language translation using BERT, GPT, and other transformers
— Object Detection and Segmentation: accurate detection and segmentation pipelines using YOLOv5 and YOLOv7
— Data Analysis and EDA: exploratory data analysis, trend identification, and forecasting to surface actionable insights
— Model Deployment: models deployed for seamless integration and real-time predictions, including AWS EC2 environments
**How it works:**
1. Place your order and share your project details via the order chat
2. The team reviews your requirements and may ask clarifying questions
3. Development, training, and API integration are completed within the agreed timeline
4. Deliverables are shared along with documentation and instructions
5. Revisions are handled through the order manager within the agreed revision allowance
**Who is this for?**
This service is ideal for startups building AI-powered features, businesses wanting to automate predictions or classification, researchers needing a deployable model, and developers who want a production-ready ML component without building it from scratch.
Based in London, England, Zinn Digital™ brings professional-grade ML engineering to freelance clients — combining technical depth in Python, TensorFlow, Keras, NLP transformers, and computer vision with a commitment to clear communication, timely delivery, and solutions built specifically around your project rather than off-the-shelf templates.
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Compare Packages
| Feature | Starter | Standard | Premium |
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
| Revisions | 3 | 5 | 3 |
| Trained ML/DL model tailored to your task (classification, regression, NLP, or vision) | ✓ | ✕ | ✕ |
| FastAPI integration with a clean REST endpoint for real-time predictions | ✓ | ✕ | ✕ |
| Full source code included — no lock-in | ✓ | ✕ | ✕ |
| Model documentation covering architecture, inputs, outputs, and usage | ✓ | ✕ | ✕ |
| Research into your problem domain and data | ✓ | ✕ | ✕ |
| 3 revisions included | ✓ | ✕ | ✕ |
| Everything in the Starter tier | ✕ | ✓ | ✕ |
| Extended delivery window for more complex model architectures or datasets | ✕ | ✓ | ✕ |
| Support for advanced frameworks including transformer-based NLP models (BERT, GPT) or YOLO object detection | ✕ | ✓ | ✕ |
| FastAPI deployment with additional endpoint configurations as needed | ✕ | ✓ | ✕ |
| 5 revisions included for thorough refinement | ✕ | ✓ | ✕ |
| Full source code and updated model documentation | ✕ | ✓ | ✕ |
| Everything in the Standard tier | ✕ | ✕ | ✓ |
| Full end-to-end AI pipeline — from EDA and data analysis through to trained model and live API | ✕ | ✕ | ✓ |
| Support for complex multi-task or multi-modal architectures (NLP, computer vision, forecasting) | ✕ | ✕ | ✓ |
| Model deployment configuration for production environments including AWS EC2 | ✕ | ✕ | ✓ |
| Comprehensive model documentation and deployment guide | ✕ | ✕ | ✓ |
| Full source code with clean, maintainable structure | ✕ | ✕ | ✓ |
Portfolio
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Build a Custom AI/ML Model with FastAPI Deployment
Build a Custom AI/ML Model with FastAPI Deployment
Extra Information
Why Choose Me
Tools I Use
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Frequently Asked Questions
You will need to share a description of your project, the type of model or task you need (e.g. text classification, image detection, regression), and any data you have available. If you are unsure about the details, simply describe your goal and the team will ask any clarifying questions via the order chat.
Ideally yes — a dataset specific to your problem will produce the most relevant results. If you do not have data, please mention this when placing your order and the team will discuss options with you, which may include using publicly available datasets relevant to your use case.
You receive a working FastAPI application that wraps your trained model, exposing one or more REST endpoints. You can send data to these endpoints and receive predictions in return, making it straightforward to integrate the model into any application or system.
The primary stack includes Python, TensorFlow, Keras, and transformer libraries (such as BERT and GPT-based models via Hugging Face Transformers) for NLP tasks, YOLOv5 and YOLOv7 for object detection, and FastAPI for model serving. AWS EC2 is used for deployment where applicable.
The documentation covers the model architecture and why it was chosen, the input format and any preprocessing steps, the output format, how to run the FastAPI server, and notes on how to retrain or update the model if needed.
Revisions are managed through the order chat. You review the delivered work, raise any changes within scope, and the team will address them within the revision allowance for your tier. Revisions cover adjustments to the model, API, or documentation based on your original requirements — significant changes in scope may be treated as a new requirement.
Yes. Deployment to environments such as AWS EC2 is supported. If you need deployment to a specific platform, please mention this in your project details so it can be factored into the scope and tier selection.
The Starter tier suits straightforward single-task models where you have clean data and a clear objective. The Standard tier is better for more complex architectures, transformer-based NLP, or computer vision tasks. The Premium tier is for end-to-end pipelines that include data analysis, complex model design, and production deployment. If you are unsure, place your order and describe your project — the team will confirm the right fit before work begins.
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