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The informal skilled services sector faces persistent challenges including information asymmetry, verification difficulties, and inefficient
matching between service seekers and providers. This paper presents SkillConnect, a web-based marketplace platform designed to improve
discovery of skilled service providers. The system uses geospatial algorithms based on the Haversine formula to identify nearby workers
within configurable search radii (5–20km). A dynamic pricing model incorporating temporal demand fluctuations and material costs
ensures transparent service pricing. The platform integrates a rule-based chatbot and a real-time SOS emergency alert system to enhance
user safety. Experimental evaluation with 64 participants demonstrated a reduction in service discovery time from 42 minutes to 68
seconds, yielding an overall satisfaction rating of 4.28/5.0. The proposed system demonstrates the potential of intelligent web platforms
in improving efficiency and transparency in informal service markets.
Keywords:
Dynamic Pricing, Geospatial Algorithms, Flask Framework, Service Marketplace, Chatbot Integration, Worker Discovery System, SOS Emergency Alert.
Cite Article:
"Intelligent Web-Based Marketplace for Skilled Service Discovery Using Geospatial Algorithms and Dynamic Cost Optimization", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b565-b569, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604211.pdf
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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