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Prediction Dashboard

A full-stack application featuring a machine learning pipeline backend and an interactive frontend dashboard.

Tech Stack

  • Backend: Python, FastAPI
  • Frontend: React
  • Machine Learning: Custom Python ML pipeline and neural network components

Project Structure

  • app.py - Main FastAPI backend server
  • frontend/ - React frontend dashboard interface
  • ml_pipeline/ - Machine learning training and prediction pipeline
  • neural_net/ - Neural network architecture and model logic

Getting Started

1. Backend Setup

Navigate to the project root and start your Python environment:

source neural_net_env/bin/activate
pip install -r requirements.txt  # (or install dependencies as needed)
uvicorn app:app --reload

About

A lightweight full‑stack prediction dashboard: a FastAPI backend that serves a saved scikit‑learn model (trained by the ml_pipeline), plus a Vite/React frontend for sending feature vectors and viewing predictions.

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