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$
USD
I will build and deploy a custom image classification model using deep learning
I create modern, maintainable, and scalable web applications
Hi, I’m Bakar Qureshi, a full-stack web developer specialized in React, NodeJS, Express, MongoDB, and MySQL. I build fast, secure, and modern web applications, including full-stack MERN apps, RESTful ...
About this Gig
Are you sitting on a dataset and not sure how to turn it into a working AI model? I'll build a production-ready image classification system tailored to your problem from raw data to a deployed API.
What I offer
- Custom CNN training architectures designed from scratch for your dataset size and class count
- Transfer learning & fine-tuning leverage ResNet, EfficientNet, ViT, and more; faster training, better accuracy
- Model deployment REST API via Flask or FastAPI, ready to integrate into your app
- Class imbalance handling (weighted sampling, augmentation)
- Full training report: accuracy, loss curves, confusion matrix, classification report
- Clean, commented PyTorch code delivered on GitHub or as a ZIP
Why work with me
- Software engineering student specializing in AI/ML with real shipped projects
- Built a Solar Panel Fault Detector and retinal disease classifier (5-class, ViT fine-tuned)
- I explain every design decision so you understand what you're buying
Drop me a message before ordering if you'd like to discuss your dataset first.
Programming language:
Python
•
Colab
Tools:
Jupyter Notebook
•
Colab
•
PyTorch
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
FAQ
What accuracy can I expect?
It depends heavily on data quality and problem complexity. I always share validation metrics honestly before delivery.
Can you work with a small dataset?
Yes. Transfer learning and augmentation strategies are specifically effective for small datasets (as few as 100–200 images per class).
What do I need to provide?
A labeled image dataset (folders or CSV). I'll handle the rest. If you don't have data yet, message me — I can advise on collection or synthetic augmentation.
Which frameworks do you use?
PyTorch for all training. Flask or FastAPI for deployment. Code runs on GPU.
