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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45161

FriendQuest: Social Networking using User Matching Algorithms and Leaflet JS.

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45161

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem45161

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.

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Nilesh Phadtare Prof. Bhavna Arora

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Abstract

In an era where digitalization has transformed social interactions, many individuals struggle to find companionship for everyday activities, leading to increased feelings of isolation. FriendQuest is a web-based platform designed to bridge this gap by connecting people based on shared interests and availability for activities such as shopping, social gatherings, and movie outings. The platform utilizes an intelligent matching algorithm to recommend suitable companions while ensuring a secure and user-friendly experience through robust safety mechanisms and detailed user profiles. Leaflet JS is integrated for interactive location-based services, enhancing the platform’s efficiency in identifying potential activity partners within a user’s proximity. Additional features such as real-time chat using Socket.io, GPS location tracking and interactive maps with nearby user recommendations further enhance the user experience. By fostering meaningful social connections, FriendQuest aims to enhance emotional well-being and encourage active participation in social activities.

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Cite This Article

Nilesh Phadtare Prof. Bhavna Arora, "FriendQuest: Social Networking using User Matching Algorithms and Leaflet JS.," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/ijsrem45161

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Publication Date

4/19/2025

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Double-Blind Peer Review

Review Rounds: 2

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