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Fiverr Pro
English
$
USD
I will build custom deep learning models for computer vision projects
About this Gig
Struggling to turn your dataset into a working AI model? I build custom deep learning and computer vision solutions backed by research-grade results not generic tutorials copy-pasted.
WHAT I DELIVER:
Custom model architecture (CNN, Vision Transformers, hybrid networks)
Full pipeline: preprocessing training evaluation optimization
Explainable AI (SHAP) for model transparency
Clean, documented, production-ready code
WHY WORK WITH ME:
Achieved 95%+ Dice score on medical image segmentation (BraTS benchmark)
99.9% accuracy on intrusion detection system (Random Forest + Deep Learning hybrid)
Built federated learning systems with hyperparameter optimization (ALO)
B.E. Computer Science, hands-on with PyTorch, TensorFlow, OpenCV, Scikit-learn
MY PROCESS:
1️ Understand your data & goal
2️ Build & train the model
3️ Optimize for accuracy/speed
4️ Deliver with clear documentation
Whether it's a research project, startup prototype, or production system I treat every gig like a technical deliverable, not a shortcut.
Message me before ordering if your project needs a custom scope happy to advise on the right package.
APIs:
Google Cloud Vision API
Programming language:
Python
•
SQL
•
Colab
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
•
PyTorch
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
FAQ
Do I need to provide a dataset, or can you find one?
You can provide your own dataset, or I can help source/suggest public datasets relevant to your problem during our initial discussion.
What if I'm not satisfied with the model's accuracy?
Each package includes revisions for optimization. I'll iterate on architecture, tuning, or preprocessing until we hit a reasonable performance target, discussed upfront.
Can you work with my existing codebase/notebook?
Yes — I can extend, debug, or optimize existing ML/DL code instead of building from scratch. Just message me with details before ordering.
Do you provide the trained model file and documentation?
Yes, all packages include the trained model, source code, and a README explaining the pipeline. Standard/Premium include full technical documentation.
What's the difference between Standard and Premium?
Standard delivers a tuned, production-grade model with documentation. Premium adds cloud deployment, API integration, and explainability (SHAP) — full end-to-end deployment-ready solution.
