Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract— Hobby- Hire is a cold-blooded job recommendation system designed to connect druggies with both hobbyhorse grounded and career grounded work openings. The system works through two resemblant matching styles. The first system focuses on pursuits and helps druggies find passion acquainted jobs like freelance systems and creative gigs. The alternate system focuses on specialized or academic chops and suggests externships and full time places. The platform removes non meaningful pursuits and accepts only valid pursuits and chops. It uses real time emblem updates, token prices and an active stoner recognition system. The frontend of Hobby- Hire is made using React and TypeScript and the data is managed with API integrations and database connections. The main end of this system is to bring two different types of job searching styles into one simple platform. hobbyhorse- Hire supports druggies from creative fields, gaming fields and professional diligence. This paper explains the armature, methodology, working process and results of the system.
Keywords:
Index Terms—mongrel job recommendation, pursuits, chops, dual matching system, freelance jobs, career jobs, stoner profiling, token prices, emblem system, web operation, job hunt platform, creative jobs, specialized jobs, real time updates, API integration.
Cite Article:
"HOBBY-HIRE - A HYBRID JOB RECOMMENDATION SYSTEM BASED ON HOBBIES AND SKILLS", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a40-a43, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512006.pdf
Downloads:
000208
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