Deep Learning – Based Fake News Classification With Android App Integration

• Author(s):

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

• Keywords:

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

• 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.

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Other Details

• Paper id:

  IJSARTV11I5103561

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-14

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