Agent AutoML: Autonomous Machine Learning and Data Analysis Platform

AI Agent • AutoML • Data Analysis • Machine Learning • Model Selection • FastAPI

Overview

Agent AutoML is an AI agent-powered machine learning platform that automatically analyzes uploaded datasets and builds end-to-end data science workflows. The system identifies the type of problem (classification or regression), performs exploratory data analysis, generates insights, and trains multiple machine learning models automatically.

Problem to Solve

Building machine learning models typically requires significant manual effort, including data cleaning, exploratory analysis, feature understanding, model selection, and evaluation. This process becomes inefficient for non-expert users and slows down rapid experimentation.

Solution Approach

Developed an AI agent system that automatically analyzes uploaded datasets and determines the appropriate machine learning task such as classification or regression. The system then performs automated exploratory data analysis, including statistical summaries and visualizations to understand data distribution and relationships.

After analysis, the agent trains multiple machine learning models, evaluates their performance, and compares results in a structured table format. The best-performing model is identified, and all trained artifacts including models and reports can be downloaded by the user. The system is deployed using FastAPI for real-time interaction.

Key Technologies

Python
Machine Learning
AutoML
AI Agent
Pandas
Scikit-Learn
Data Visualization
FastAPI

Impact

        Result:
        Delivered an autonomous machine learning system that simplifies the entire data science
        pipeline from raw dataset to model comparison and deployment-ready artifacts. The solution
        significantly reduces manual effort and enables rapid machine learning experimentation for
        users with minimal technical expertise.
    

Live Demo

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Agent AutoML Demonstration

Autonomous Dataset Analysis, Model Training, and Performance Comparison

Watch how the AI agent automatically analyzes uploaded datasets, detects the problem type (classification or regression), performs exploratory data analysis, trains multiple machine learning models, and compares their performance in a structured dashboard with downloadable model artifacts.