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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
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| Paper Title: | Destination Alert Wakeup - Alarm with travel management |
| Authors Name: | Mr C Karthikeyan , S Chinnamani , H Suriya Prakash , R Arun , R Vigneshwaran |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202695
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| Published Paper Id: | IJRTI2504229 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i4.202695 |
| Abstract: | In the changing scenario of city transportation, public transit systems are an integral part of the daily life of millions. Yet, despite their extensive usage, most commuters still experience difficulties that make their journey a frustrating experience. These include physical fatigue on long trips and sleep-induced distraction to unfamiliarity with particular routes and stops. As such, it is not unusual for passengers to reach their destinations later than expected, causing delays, confusion, and unnecessary stress. The complexity is compounded by dynamic city conditions of traffic congestion, unpredictable delays, and irregular public transport schedules. These necessitate a contemporary, intelligent system able to support commuters in a proactive and reliable manner. To meet this increasing demand, we introduce SmartCommute, a cutting-edge AI-powered commuter assistant that is meant to guide users with intelligent, personalized travel management. The platform combines some of the most important technologies like real-time GPS location tracking, Google Maps API, geofencing, and machine learning-driven prediction models to provide a very adaptive experience. In contrast to conventional alarm or reminder applications that use time-based triggers, SmartCommute functions on the basis of location and contextual travel information. It lets users configure destination-specific alerts that are automatically triggered on approach towards a given radius. Further, the platform continuously examines real-time transit status and recorded route trends to predict disruptions, recommend improved alternatives, and issue advanced warnings. This ensures that commuters are well-informed, prepared, and capable of navigating their routes with higher confidence and effectiveness. In addition to its technical functionality, SmartCommute is made with accessibility, convenience, and user safety considerations. The software accommodates several notification modes including audio signals, vibrations, and on-screen prompts, which accommodate a broad base of users with visual impairments or attention deficit disorders. The system also has an emergency alert function, which can alert responsible contacts in the event of route deviation or delay. With its user-friendly interface, low power consumption capabilities, and smooth integration with public transport databases, Smart commute provides a dependable solution for commuters who want a smarter and more responsive travel experience. In the process, it not only makes daily commutes more efficient but also helps create a safer and more commuter-centric public transport environment. |
| Keywords: | Travel alarm, Destination Alert, Wakeup reminder, location based alarm. |
| Cite Article: | "Destination Alert Wakeup - Alarm with travel management ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c50-c55, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504229.pdf |
| Downloads: | 000386 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2504229
Registration ID:202695
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i4.202695
Page No: c50-c55 Country: Tirupur -641602, Tamilnadu , India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504229 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504229 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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