Abstract: In the digital era, users often provide consent on online platforms without fully understanding the implications of privacy policies and data-sharing terms. The Digital Consent Tracker aims to solve this issue using Artificial Intelligence (AI) and Natural Language Processing (NLP). The system extracts key points from lengthy privacy agreements, generates userfriendly summaries, and categorizes them into areas such as data collection, thirdparty sharing, data retention, and user rights. It offers a web dashboard and browser extension to help users instantly review simplified versions of consent documents. This approach promotes transparency, improves user awareness, and encourages ethical data-handling practices. Overall, this project demonstrates how AI-driven solutions can support informed decision-making, build user trust, and align with global privacy regulations such as GDPR and CCPA.
Keywords: AI, NLP, Privacy Policy, Digital Consent, Data Protection, GDPR, CCPA, Summarization, Browser Extension, User Awareness.
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DOI:
10.17148/IJARCCE.2026.15190
[1] Prof. Smita K. Thakare, Ms. Monali Arjun Kokate, Ms. Sanjeevani Pradeep Khairnar, Ms. Snehal Satish Kedar, Ms. Pinal Dineshbhai Lagdhir, "ConsentGuard: Digital Consent Tracker," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15190
