Smart Unified Email Aggregator with Priority Highlighting and Spam Filtering

Author(s)	Ms. Chandana N
Country	India
Abstract	Email serves as a vital channel for professional, academic, and personal exchanges today, yet handling accounts across diverse platforms like Gmail, Outlook, and Zoho Mail poses growing difficulties. The surge in spam, promotional content, and low-value messages clogs inboxes, frequently burying critical, urgent correspondence. This paper introduces a Smart Unified Email Aggregator featuring priority-based highlighting and advanced spam detection. It consolidates messages from various providers into one streamlined dashboard. By leveraging machine learning, the system identifies spam versus legitimate emails and sorts the latter into key, promotional, and personal categories via content scrutiny and confidence scoring. This approach boosts inbox efficiency, ease of use, and overall productivity.
Keywords	Email aggregation, spam filtering, priority classification, machine learning
Field	Computer Applications
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-01-04
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.64916
Short DOI	https://doi.org/hbhsg2

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International Journal For Multidisciplinary Research