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MACHINE-LEARNING Project

Email Spam Detection System Final Year Project Source Code

Get runnable Email Spam Detection System Final Year Project Source Code with database files, project setup instructions, live demo options and installation support. This project resource helps students understand the implementation, modules, workflow and technical architecture of a complete MACHINE-LEARNING project.

Email Spam Detection System Final Year Project preview

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What's Included in Your Download

  • Complete Source Code

    Runnable project code with frontend & backend.

  • Database Files

    SQL database file and required resources.

  • Setup Instructions

    Step-by-step README and project setup guide.

  • Configuration Files

    All configuration files and dependencies included.

  • Module Explanation

    Understand key modules and project workflow.

  • Setup & Demo Support

    Installation help and live demo where available.

Choose the Package That Fits You Best

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01 Source Code Only

₹99

One-time Payment

  • Complete project source code
  • Database / data resources
  • Dependencies & configuration
  • README / setup guide
  • Instant download access
Download — ₹99
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02 Code + Setup Support

₹248

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  • Everything in Source Code plan
  • Remote setup assistance
  • Database & configuration setup
  • Run verification
  • Help via WhatsApp / Email
Download — ₹248

Project's Overview

Email Spam Detection System is a Python Flask based final year project developed for classifying email-like text as Spam or Ham using machine learning. This major project includes user authentication, user dashboard, spam prediction, prediction history, statistics, profile management, export options, admin dashboard, dataset upload, model training, metrics, confusion matrix, and global prediction management. Users can sign up, log in, analyze email subject and body, view spam/ham prediction result, check confidence score, save prediction history, search and filter records, delete history rows, view dataset information, update profile, change password, and export history as CSV or text. Admin users can manage users, view all predictions, upload datasets, train models, evaluate accuracy, precision, recall, F1 score, and view training history. This email spam detection source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Flask, SQLite, NLP, and machine learning.