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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53773
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
In today’s digital ecosystem, individuals and businesses often face challenges in finding reliable, domain-specific consultants. Existing platforms are fragmented, lack intelligent matchmaking, and offer limited trust or verification mechanisms. This paper presents ConsultSphere — an AI-powered web-based consultancy platform designed to intelligently connect clients with verified domain experts. Using machine learning techniques such as TF-IDF, the system analyzes consultant profiles and client requirements to recommend the most suitable expert. The platform offers secure authentication, real-time chat, appointment booking, and personalized consultant recommendations through a user-friendly interface built with React.js and Django REST Framework. MySQL serves as the backend database, while Socket.io enables live communication. By integrating AI/ML-based recommendation and real- time collaboration, ConsultSphere aims to enhance accessibility, reduce search time, and improve the overall consultancy experience. The proposed system demonstrates how intelligent automation can transform the traditional consultation process into a seamless, efficient, and trustworthy digital solution.
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Publication Date
11/10/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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