AI Web Visualization & Recommendation App
Budget: €250 – €750 EUR
I need a browser-based application that marries interactive data dashboards with an AI-driven recommendation engine. The machine-learning layer will be prototyped in Python (scikit-learn, TensorFlow, or similar) and served through a lightweight REST API that plugs seamlessly into my existing Node.js stack. On the client side, JavaScript should power rich, real-time visualisations—feel free to leverage D3.js, Plotly, or another modern library—as users explore the data and receive tailored suggestions in parallel.
Key deliverables
• Clean, well-commented Python code for model training, evaluation, and inference
• REST endpoints (or GraphQL if you prefer) that expose recommendation results to the web front end
• A responsive front-end module that renders charts/graphs and updates them live as new predictions arrive
• Dockerfile or equivalent to reproduce the full environment locally
• Brief setup guide and model performance report
Acceptance criteria
– Top-N recommendations returned in <200 ms under typical load
– Visualisation layer renders without errors on modern browsers (Chrome, Firefox, Edge)
– Code passes linting/tests and installs with a single command
OpenCV or other image-processing tools are welcome if they streamline feature extraction, but they’re optional. I’ll share sample data and further API details once we start; everything else above should give you a clear picture of the scope and the expected deliverables.
Key deliverables
• Clean, well-commented Python code for model training, evaluation, and inference
• REST endpoints (or GraphQL if you prefer) that expose recommendation results to the web front end
• A responsive front-end module that renders charts/graphs and updates them live as new predictions arrive
• Dockerfile or equivalent to reproduce the full environment locally
• Brief setup guide and model performance report
Acceptance criteria
– Top-N recommendations returned in <200 ms under typical load
– Visualisation layer renders without errors on modern browsers (Chrome, Firefox, Edge)
– Code passes linting/tests and installs with a single command
OpenCV or other image-processing tools are welcome if they streamline feature extraction, but they’re optional. I’ll share sample data and further API details once we start; everything else above should give you a clear picture of the scope and the expected deliverables.