MLViz: Web App for Machine Learning Model Evaluation

Maneet

Maneet Goyal

MLViz

MLViz is a web-based application that allows you to evaluate the performance of your machine learning models in real-world business scenarios. It enables you to create interactive charts that reveal different business implications of a model’s behavior, and provides slider controls to simulate the effect of variable inputs. This early-stage exploration helps surface how models respond to changes in real-world conditions.

Features
Evaluates model performance in relation to business metrics (like profit and cost)
Offloads heavy computations using Web Workers for a smoother UI experience
Supports offline mode using Service Workers
Built-in chatbot allows users to ask questions about chart data
Fully customizable dashboard: drag, resize, and create multiple chart views.
Skills- React, TypeScript, Apache ECharts, AWS AppSync, AWS Lambda. AWS Bedrock, AWS API Gateway, AWS Cognito
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Posted Jul 14, 2025

Developed MLViz, a web app for evaluating machine learning models in business scenarios.

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Timeline

Feb 7, 2024 - Jun 14, 2024