WisBot

WisBot: Your AI Co-inventor for Data Discovery

What is WisBot? WisBot is an AI-powered tool designed to transform raw data and a question into a complete, ready-to-use solution. It generates executed Jupyter notebooks, EDA reports, trained machine learning models, and deployment-ready code in minutes. It allows users to skip the tedious setup and debugging process, providing immediate insights and results.

Key Features:

• Automated EDA and ML: WisBot automates Exploratory Data Analysis (EDA) and trains multiple Machine Learning (ML) models.
• Executed Jupyter Notebooks: Users get fully-run notebooks with completed EDA, trained models, and publication-ready charts.
• Interactive Chat-Based Iteration: Refine analysis, add new features, or explore different approaches through natural language.
• Instant Scaffold Python Code: Complete repository with requirements.txt, Dockerfile, preprocessing scripts, and deployment configs.
• Research Integration: Access and incorporate findings from the latest academic papers and research publications.

How Does WisBot Work?

1. Upload & Ask: Upload your data file (CSV, JSON, PY) and describe your goal in natural language. For example: "Analyze customer churn and predict which customers are likely to leave".
2. AI Does the Heavy Lifting: WisBot's AI handles data cleaning, EDA, model selection, training, validation, and visualization generation.
3. Get Complete Solutions: Download executed notebooks, production code, deployment configs, and interactive reports.

What You Actually Get

WisBot delivers complete solutions with actual results, insights, and trained models, not just raw code snippets.

• Executed Jupyter Notebooks: Receive a fully-run notebook with completed EDA, trained models (e.g., 92.3% accuracy), and publication-ready charts. No local setup is required; everything runs in the cloud.
• Interactive Chat-Based Iteration: Collaborate with the generated notebook to refine analysis and request modifications through natural language. See real-time updates as you iterate on your data science workflow.
• Instant Scaffold Python Code: A full project structure is provided with requirements.txt, Dockerfile, preprocessing scripts, and deployment configs. The code is production-ready and follows best practices.

Use Cases:

• Research: From raw data to research insights, skip the setup, upload your data, describe your hypothesis, and get a fully executed notebook with EDA, model training, and publication-ready visualizations.
• ML Engineers: Get complete project scaffolds with Docker setup, requirements.txt, and clean, modular code.
• Data Analysts: Turn spreadsheets into compelling stories. Get executive-ready insights, beautiful visualizations, and clear recommendations without touching code.
• Product Managers: Make data-driven decisions without waiting for engineering. Test hypotheses, analyze user behavior, and prototype ML features instantly.

Why is WisBot important?

WisBot bridges the gap between raw data and actionable insights. It empowers data scientists, ML engineers, data analysts, and product managers to quickly explore data, build models, and deploy solutions. The platform's research integration ensures that users have access to the latest techniques and methodologies, leading to more effective and evidence-based solutions. WisBot saves time and resources by automating tedious tasks and providing a streamlined workflow, enabling users to focus on extracting meaningful insights from their data.

Standard Approach vs. WisBot Data Science Engine

WisBot is the tool that delivers complete solutions with actual results, insights, and trained models - not homework for you to complete.