I will build and deploy ai image classification models
ML Engineer End to End AI Solutions and Deployment
About this Gig
I build and deploy custom AI image classification systems that automatically detect, classify, and analyse images using deep learning models.
From dataset preparation to training to deployment, I deliver a complete end-to-end solution ready for real-world use.
What You Get:
- Custom image classification model (PyTorch / CNN / Transfer Learning)
- Data cleaning & preprocessing
- Model training & evaluation
- Confidence score predictions
- FastAPI backend (REST API)
- Optional web UI deployment
- Full source code + documentation
Technical Stack:
Python, PyTorch, ResNet-50, EfficientNet, FastAPI, Pillow, NumPy, Hugging Face, Docker
Expertise:
- Transfer Learning
- Fine-tuning
- Class Imbalance Handling
- Data Augmentation
- Multi-class Classification
- Model Evaluation
Why Choose Me:
I don't just train models, I deliver complete production-ready AI systems that are optimized, deployed, and fully documented for real-world use.
Note:
Please message me before ordering to confirm your dataset and requirements.
APIs:
Other
Programming language:
Python
•
Colab
Tools:
Jupyter Notebook
•
OpenCV
•
Excel
•
PyTorch
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
My Portfolio
FAQ
What dataset do I need to provide?
A labeled image dataset with at least 500 images per class gives good results. I can also advise on publicly available datasets if you do not have your own.
Which image categories can you classify?
Any visual category — products, documents, skin lesions, animals, handwriting, defect detection, and more. If it can be photographed, it can be classified.
Will I own the code and model after delivery?
Yes. Full source code, trained model weights, and documentation are yours on delivery.
What if the accuracy is not good enough?
Accuracy depends on dataset quality and size. I will communicate realistic expectations before starting and include one round of optimization in every package.

