BS

Permanent URI for this community

Now showing 1 - 1 of 1

Influencer recommendations system
(UMT, Lahore, 2025) Abdul Basit Shahzad, M Sarim and Qurratul Ain Aslam
This Final Year Project develops an intelligent platform designed to revolutionize influencer marketing by leveraging artificial intelligence to optimize brand-influencer partnerships. The system addresses critical challenges in the current influencer marketing landscape, including inefficient manual search processes, mismatched collaborations, and a lack of standardized communication channels. The proposed solution implements an AI-driven matchmaking system using Gemini AI's content-based filtering algorithm to analyze multiple parameters, including niche specialization, audience demographics, engagement metrics, and campaign requirements. Brands can create detailed campaign profiles specifying their objectives, target audience, and budget constraints, while influencers build comprehensive profiles showcasing their content style, follower statistics, and performance metrics. Key technical components include a React.js frontend for responsive user interfaces, Node.js/Express backend for business logic, MongoDB for flexible data storage, and Firebase for real-time chat functionality and authentication. The admin module provides comprehensive oversight with user verification, content moderation, and analytics capabilities.