I Got Tired of Using 6 AI Tools, So I Built One Instead

I Got Tired of Switching Between AI Tools, So I Built One Platform

For every computer vision project, my workflow looked the same:

• Search for a model.
• Search for a dataset.
• Annotate data.
• Benchmark different models.
• Train.
• Deploy.

Every step required a different tool, different UI, and different workflow.

After doing this repeatedly, I started building MLForge to see if I could bring everything into one place.

Today it includes:

• 20,000+ AI models and datasets from major providers
• Built-in annotation studio
• Benchmark dashboard
• Inference workspace
• Computer vision training pipeline
• Deployment interface

The project is completely free and designed to run locally on Windows, Linux, and macOS.

This is still an active project, and I'm continuously improving it based on feedback from other developers.

I'd really appreciate your thoughts:

• What features would you expect from a platform like this?
• What would stop you from using it?
• What would make it part of your daily workflow?

Website:(https://mlforge.in)

Demo: [https://youtu.be/V0YBemyTkG8?si=CkOniaPa_Mwp7_B9]