WisBot is an AI-powered assistant designed to streamline data science and machine learning workflows by transforming raw data and user queries into comprehensive, ready-to-use solutions. It automates the creation of executed Jupyter Notebooks, exploratory data analysis (EDA) reports, trained machine learning models, and deployment-ready code, all without requiring local setup. Key Features and Functionality: - Executed Jupyter Notebooks: WisBot generates fully executed notebooks that include completed EDA, trained models, and publication-ready visualizations, enabling users to gain insights without manual coding. - Interactive Chat-Based Iteration: Users can interactively refine analyses through a chat interface, requesting modifications or new visualizations in natural language, facilitating an iterative development process. - Instant Scaffold Python Code: The tool provides complete project structures with necessary files like `requirements.txt`, Dockerfiles, and deployment configurations, ensuring the code is production-ready and follows best practices. - Research Integration: WisBot incorporates findings from the latest academic papers and research publications, allowing users to apply cutting-edge techniques and methodologies to their analyses. Primary Value and User Solutions: WisBot significantly accelerates the data analysis and model development process for data scientists, machine learning engineers, data analysts, and product managers. By automating tedious tasks such as data cleaning, EDA, model selection, and code generation, it reduces the time from data ingestion to actionable insights from hours to minutes. This efficiency enables users to focus on strategic decision-making and innovation, rather than being bogged down by routine coding and setup tasks. Additionally, its cloud-based infrastructure eliminates the need for local environment configurations, making it accessible and convenient for teams of all sizes.