Skip to content

Latest commit

 

History

History
39 lines (27 loc) · 930 Bytes

File metadata and controls

39 lines (27 loc) · 930 Bytes

Spam Detection with FastAPI 📩🤖

This project is a Machine Learning based Spam Detection system exposed through a FastAPI backend.
It predicts whether a given text message is Spam or Not Spam using a trained ML model.

The project demonstrates how to integrate ML models with FastAPI, handle request/response schemas, and structure a production-ready backend.


✨ Features

  • Spam vs Not-Spam text classification
  • Trained Machine Learning model
  • FastAPI based REST API
  • Input & output validation using Pydantic
  • Clean and modular project structure
  • Ready for deployment


🛠️ Tech Stack

  • Python
  • Machine Learning (Scikit-learn)
  • FastAPI
  • Pydantic
  • Pickle
  • Streamlit (optional UI)

⚙️ How to Run the Project

1️⃣ Clone the repository

git clone https://github.com/Rushi1696/Spam-Detection-With-Fast-API.git
cd Spam-Detection-With-Fast-API