International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | APEX: An AI-Powered Digital Decluttering and Prioritization System |
|---|---|
| ABSTRACT | An overwhelming number of emails, social media content, notifications, and multimedia data have been generated as a result of the quick growth of digital platforms. Users' productivity, focus, and mental health are all negatively impacted by this constant exposure to disorganized digital information. The majority of current digital management systems lack intelligence, contextual awareness, and privacy-centric design and function independently on separate-platforms. This paper presents APEX (Assess, Prioritize, Execute, Exclude), a digital decluttering and prioritization system powered by artificial intelligence that integrates various digital ecosystems into a single intelligent framework. The suggested system uses behavioural modelling, sentiment analysis, natural language processing (NLP), and secure authentication methods to find key content, condense data, remove duplication, and provide insightful information about wellness. APEX guarantees safe handling of user data by implementing a privacy-first architecture with encryption and JWT-based authentication. APEX successfully reduces digital clutter while improving decision-making effectiveness and general digital well-being, according to experimental observations and system evaluations. |
| AUTHOR | AADITYA KAPOOR, AACHAL PATIL, ANSHUL KUSHWAHA, ARCHANA NAIR B.Tech Student, Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning), Oriental Institute of Science and Technology, Bhopal, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401053 |
| pdf/53_APEX An AI-Powered Digital Decluttering and Prioritization System.pdf | |
| KEYWORDS | |
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