MVP Predictive Analytics AI
Budget: $250 – $750 CAD
I’m ready to turn a fresh idea into a working MVP and need an AI specialist who can own the end-to-end predictive analytics layer. The single most important outcome is a model that takes my existing data, produces reliable forecasts, and is simple enough to slot straight into a lightweight product demo.
Here’s the scope in plain words:
• Select and train an algorithm that balances accuracy with speed—feel free to use Python, TensorFlow, PyTorch, or another framework you prefer, so long as the environment is reproducible.
• Wrap the model in a small REST or GraphQL API so I can call predictions from a basic front-end.
• Hand over deployment instructions for a cloud environment (AWS, GCP, or Azure—your choice) so the MVP runs in a real setting, not just your local machine.
Acceptance for completion
1. Model hits agreed accuracy metrics on a held-out test set.
2. Endpoints respond in under one second for standard-size requests.
3. All code in a private Git repo with clear README and environment file.
I’d like to see the first working iteration within two weeks and the polished MVP within one month, including a short hand-off session so I can maintain it myself. If this timeline fits and you have a track record shipping production-ready predictive models, let’s talk.
Here’s the scope in plain words:
• Select and train an algorithm that balances accuracy with speed—feel free to use Python, TensorFlow, PyTorch, or another framework you prefer, so long as the environment is reproducible.
• Wrap the model in a small REST or GraphQL API so I can call predictions from a basic front-end.
• Hand over deployment instructions for a cloud environment (AWS, GCP, or Azure—your choice) so the MVP runs in a real setting, not just your local machine.
Acceptance for completion
1. Model hits agreed accuracy metrics on a held-out test set.
2. Endpoints respond in under one second for standard-size requests.
3. All code in a private Git repo with clear README and environment file.
I’d like to see the first working iteration within two weeks and the polished MVP within one month, including a short hand-off session so I can maintain it myself. If this timeline fits and you have a track record shipping production-ready predictive models, let’s talk.