Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46791

Smart PH Monitoring System: IOT, Cloud and AI Driven Solutions

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46791

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46791

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

DS

D. Swaroopa

TAY

Thokala Abhishek Y

EKK

Eluri Kushal Keerthan

DAK

Dodla Adithya Kumar

Author Services & Downloads

Full Articles

Abstract

The Smart pH Monitoring System addresses the challenge of effective air quality awareness in a time of growing environmental concern. Many individuals remain unaware of harmful pH levels and pollution indicators in their immediate surroundings, leading to exposure without timely preventive action. Current monitoring apps often rely on generalized or third-party data, lack precise location-based feedback, and do not support user-specific interactions or real-time environmental visibility. A key issue is the absence of IoT integration and live geospatial mapping, which limits the ability to deliver personalized and actionable insights. Most existing systems fail to incorporate intelligent assistants and lack support for offline environments, reducing accessibility. The proposed Smart pH Monitoring System tackles these issues by utilizing IoT sensors to measure real-time pH levels, which are visualized in a mobile application built with Flutter. Users log in securely through Firebase Authentication, after which they are presented with a Google Maps interface displaying their current location. A color-coded circular overlay spanning a 1 km radius indicates the pH severity level—green for safe, yellow for moderate, and red for hazardous. The current pH value is displayed beneath the map, offering concise and critical insight. Additionally, the app includes an AI-powered chatbot to address user queries and offer tips related to pollution and safety. The system ensures cloud-based data logging through ThingSpeak and Firebase, with offline support for continued usability. This dual-layered approach—real-time monitoring combined with interactive guidance—empowers users to make informed decisions and contributes toward greater environmental consciousness.

KEYWORDS

IoT Flutter Firebase Authentication ThingSpeak Google Maps API pH Monitoring Air Quality Index AI Chatbot Cloud Integration Environmental Awareness

Cite This Article

D. Swaroopa, Thokala Abhishek Y, Eluri Kushal Keerthan, Dodla Adithya Kumar, "Smart PH Monitoring System: IOT, Cloud and AI Driven Solutions," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM46791

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

3/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

2

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...