Built an Open-Source AI-Powered AutoML SaaS Platform – Looking for Feedback & Contributors

Byhassanhosting531@gmail.com

Built an Open-Source AI-Powered AutoML SaaS Platform – Looking for Feedback & Contributors

🚀 Introducing Precision Engine

Hi everyone!

Over the past few months, I've been building Precision Engine, an open-source AI-powered AutoML platform that aims to make machine learning workflows simpler while giving users more control and transparency.

The project has now reached a deployed MVP, and I'd love to get feedback from the community before continuing with the next phase of development.

✨ Current Features

  • Secure JWT Authentication
  • Multi-user SaaS architecture
  • Isolated workspaces for each user
  • Persistent workspace state
  • Dataset upload and management
  • Automated preprocessing pipeline
  • Multiple machine learning algorithms
  • Model comparison
  • Hyperparameter tuning
  • Feature importance
  • Explainability
  • Interactive analytics dashboard
  • Cloud storage integration (Appwrite)
  • Production deployment (React + FastAPI)

🛠 Tech Stack

  • React + Vite
  • FastAPI
  • MongoDB Atlas
  • Appwrite Storage
  • Scikit-learn
  • Python
  • JWT Authentication
  • Render
  • Vercel

🎯 What's Next

This is just the MVP.

I'm actively working on turning it into a complete AI-powered data science copilot with features like:

  • AI Dataset Copilot
  • Automatic model improvement loop
  • Advanced explainability (SHAP/LIME)
  • Model deployment & MLOps
  • Team collaboration
  • More intelligent recommendations

💬 I'd Love Your Feedback

I'm looking for feedback on:

  • UI/UX
  • Architecture
  • Performance
  • Machine Learning workflow
  • Feature ideas
  • Code quality
  • Overall developer experience

If you find bugs, have suggestions, or think something could be designed better, I'd genuinely appreciate hearing your thoughts.

🤝 Open Source Contributions Welcome

The project is fully open source, and contributions are very welcome.

Whether it's fixing bugs, improving documentation, enhancing the UI, optimizing the backend, or adding new ML features, I'd be happy to collaborate.

If you're interested, please open an issue, submit a pull request, or simply leave your feedback.

Thanks for taking the time to check it out—I hope it can become a useful tool for the ML community.

⭐ GitHub:
https://github.com/Deepak06-v/mlplatform

🌐 Live Demo:
https://mlplatform-two.vercel.app/

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