Phoenix - Your AI AssistantBuild Custom AI/ML Model for Your Data & Use-Case
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5 days
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What you get with this Offer
I will develop a custom AI/ML model tailored to your specific business use-case. Whether you need classification, regression, recommendation, or predictive analytics, I’ll handle data preprocessing, feature engineering, model training, validation, and deployment. The model will be built with explainability and reliability in mind, using proven frameworks like TensorFlow, PyTorch, or scikit-learn. I also include fine-tuning to optimize model performance, managing overfitting, evaluating metrics, and ensuring the model generalizes well on new data.
After delivering the model, you’ll receive documentation including how it works, how to use it, and sample code or API endpoint integration (if needed). I’ll perform necessary tests (accuracy, precision/recall, robustness) and help with basic deployment or integration into your platform. If required, I can also provide suggestions for ongoing maintenance or improvements, so you can scale or adapt the model as your data grows.
After delivering the model, you’ll receive documentation including how it works, how to use it, and sample code or API endpoint integration (if needed). I’ll perform necessary tests (accuracy, precision/recall, robustness) and help with basic deployment or integration into your platform. If required, I can also provide suggestions for ongoing maintenance or improvements, so you can scale or adapt the model as your data grows.
What the Freelancer needs to start the work
I will need your dataset (cleaned, or as raw data plus schema), specifications of what you want the model to accomplish (type of prediction/or classification tasks; outputs desired), sample inputs & outputs if possible, any preferred metrics (e.g. accuracy, F1, etc.), constraints (latency, size, budget), plus info on where/how you plan to deploy the model (cloud, on-premises, in your app) and any technology preferences (frameworks, languages).