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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56299
Volume:
10 |
1 |
Jan 2026
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.
This project addresses the major issues that independent contractors confront, especially the dearth of chances and leads. For independent contractors, this procedure is among the most laborious and ineffective. We propose a system to overcome these problems by using a combination of technologies such as artificial intelligence, agentic AI, and web crawling. The system is developed to automate the entire first phase of lead discovery and opportunity identification by leveraging autonomous web crawling and advanced reasoning. The system scans web pages to generate leads and identify potential opportunities. It also uses maps to take advantage of geolocation data and social media platforms to find leads, which speeds up the process of searching and finding opportunities and increases the overall efficiency of freelancers. The core of the system uses AI agents to scan web pages, find leads, identify sources, and validate their authenticity. It evaluates each webpage based on predefined parameters such as inactive websites, poor branding, offline websites, and potential demand, while eliminating inactive websites. The system architecture ensures efficiency and authenticity and also considers the overall SEO of websites. This process allows freelancers to bypass inefficient search methods and connect more effectively while expanding their opportunities.
KEYWORDS
Publication Date
1/31/2026
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.
Funding Information
No funding information available for this research.
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