📊 ML Report Maker – Automated Data Profiling App

Welcome to ML Report Maker, a lightweight web application that generates automated data profiling reports from CSV files. Built using pandas-profiling and FastAPI, this app allows users to upload datasets and instantly view comprehensive exploratory data analysis (EDA) summaries — all through a browser!

🌐 Live Demo

🚀 Check out the deployed app here:
👉 https://ml-report-maker.onrender.com/

---

🧰 Tech Stack

• Backend Framework: FastAPI
• Data Profiling: pandas-profiling
• Web Server: Uvicorn
• Frontend: HTML, CSS, JS
• Deployment: Render

---

🛠️ Features

• 📁 Upload CSV files directly from your browser
• 📊 Automatically generate EDA reports using pandas-profiling
• 🧼 Analyze null values, distributions, correlations, types, and more
• ⚡ Fast and user-friendly interface with minimal setup

---

🚀 How to Run Locally

1. Clone the repository

   git clone https://github.com/your-username/Panda_profiling_project.git
   cd Panda_profiling_project

2. Create and activate a virtual environment (optional but recommended)

   python -m venv venv
   # Activate on Windows:
   venv\Scripts\activate
   # Or on macOS/Linux:
   source venv/bin/activate

3. Install the dependencies

   pip install -r requirements.txt

4. Run the application using Uvicorn

   uvicorn app:app --reload

5. Access the app in your browser

   Navigate to: http://127.0.0.1:8000

🌍 Deployed Web App

No need to run locally? Try the live hosted version: 👉 https://ml-report-maker.onrender.com/ Upload your CSV file and view a full profiling report in seconds!