https://github.com/sadhami0519/aicte-internship
The project, Spam Detection using Machine Learning, aims to classify messages as spam or not spam using machine learning algorithms. This is achieved by preprocessing numerical data, extracting meaningful features, and identifying spam patterns.
https://github.com/sadhami0519/aicte-internship
python streamlit
Last synced: about 2 months ago
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The project, Spam Detection using Machine Learning, aims to classify messages as spam or not spam using machine learning algorithms. This is achieved by preprocessing numerical data, extracting meaningful features, and identifying spam patterns.
- Host: GitHub
- URL: https://github.com/sadhami0519/aicte-internship
- Owner: sadhami0519
- Created: 2024-11-29T13:19:29.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-12-04T16:26:11.000Z (7 months ago)
- Last Synced: 2025-12-08T00:43:10.594Z (7 months ago)
- Topics: python, streamlit
- Language: Python
- Homepage:
- Size: 3.01 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
This project was developed as part of the **AICTE Internship on AI: Transformative Learning** in collaboration with **Microsoft** and **SAP** under the **TechSaksham CSR initiative**. The focus of this internship is to enable students to develop AI-based solutions to solve real-world challenges.
## Overview
The project, **Spam Detection using Machine Learning**, aims to classify messages as spam or not spam using machine learning algorithms. This is achieved by
1. preprocessing numerical data,
2. extracting meaningful features, and
3. identifying spam patterns.
### Internship Details
- **Internship ID:** INTERNSHIP_172777276266fbb85a28f94
- **Intern:** Amirth Sadhakshi M
- **AICTE Student ID:** STU670e8cbc451571729006780
- **Duration:** 4 Weeks (Starting 12th November 2024)
- **Organizers:** Microsoft, SAP, AICTE, and Edunet Foundation
- **Mentorship:** Industry experts guiding project development and implementation.