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Volume 11, Issue 5 (May 2025)

Deep Learning – Based Fake News Classification With Android App Integration

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Girish S C Bhumika H N Jayashree S Sahana Shree T Thejaswini L

Abstract

Fake News And Spam Emails Present Critical Challenges To The Digital World, Impacting Societal Trust And Cybersecurity. This Design Proposes A Scalable Android- Rested Operation That Employs Advanced Deep Knowledge Approaches For Identifying Fake News Content And Descry Spam Emails Effectively.usingways Like Natural Language Processing(NLP), Long Short- Term Memory(LSTM) Networks, And Support Vector Machines(SVM), The System Ensures Accurate Results. Vital Features Include Multilingual Support, Offline Capabilities Using SQLite, And A Stoner- Friendly Interface To Feed To Different Cult. This Innovative Approach Islands Significant Gaps In Being Technologies, Contributing To Safer And Further Informed Digital Ecosystems.

Keywords

Fake News Detection Spam Email Filtering Android Application NLP LSTM SOLite Machine Learning Cyber Security.

Paper ID

IJSARTV11I5103561

Publication Date

May 14, 2025

Research Area

Deep Learning

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