Data Science Superapp: Object Detection, Statistics, LLM Chatbots, Classification, Image Generation, etc. all in one app!

[daltunay]

Data Science Superapp

Try it now! → daltunay · Streamlit (data-science-superapp.streamlit.app)

Hello everyone, I want to share with you the Data Science Superapp I built. The goal when building it was to learn about the different streamlit components, as well as showcasing some of my data science & AI skills.

Summary

This app contains several features:

• Machine Learning
  • Classification
    • XGBoost
  • Regression
    • XGBoost
  • Clustering
    • DBScan
    • K-Means
• Computer Vision
  • Landmarks Detection
    • Face Mesh
    • Pose Landmarks
  • Object Detection
    • Face Detection
    • Multi-Object Detection
• Statistics
  • Dimensionality Reduction
    • PCA
    • UMAP
    • t-SNE
  • Statistical Tests
    • A/B Test
    • Chi2 Test
• Generative AI
  • Large Language Models
    • Basic Chatbot
    • RAG Chatbot
    • Tools Chatbot
    • Webpage Summary
  • Image Generation
    • DALL-E
    • Stable Diffusion

Homepage:

Screenshots:

Here are a few screenshots to show you some of the app features:

Classification

Multi-Object Detection

Face Mesh

PCA

A/B Test

DALL-E

RAG Chatbot

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This app is completely open source, and you can find the code on GitHub here: daltunay/my-superapp

I used the WilianZilv/streamlit_superapp package to build my app, as well as whitphx/streamlit-webrtc for the webcam usage.

You don’t need any API key (OpenAI, Together AI, Lakera Guard, Twilio, etc.) as I set mine for all of these.

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Feel free to ask any question you would have, or suggest improvements for this app!

build-with-streamlit