I already grasp the basics of the internet, AI, and numbers, yet I need someone to turn those raw skills into a working product. The goal is a complete AI program focused on data prediction, wrapped in a simple chatbot interface so end-users can ask questions and instantly receive forecasts. Here’s the flow I have in mind: • You design and train a prediction model (Python with scikit-learn, TensorFlow, or PyTorch—whichever best fits the data). • The model is exposed through a lightweight chatbot—Rasa, FastAPI + React chat widget, or another straightforward framework—so users can type a query and receive the model’s output in real time. • I provide the dataset (or a clear sample structure) and will test the chatbot locally; all configuration steps must be documented. Acceptance criteria • Prediction accuracy meets the agreed benchmark we set after an initial look at the data. • Chatbot replies within two seconds on a standard laptop. • Deliverables include clean, well-commented code, a requirements.txt/conda environment file, and a concise README that lets me reproduce training and deployment from scratch. If this sounds within your wheelhouse, let’s discuss the dataset size, preferred frameworks, and any clarifications you need before we kick off.