GigMatch Pro: Freelancer-Customer Matching System

📖 Project Overview

GigMatch Pro is a scalable gig economy simulation platform developed in Java, inspired by real-world service marketplaces. The system efficiently matches customers with skilled freelancers using a sophisticated ranking algorithm.

The project simulates a dynamic marketplace where thousands of requests, job completions, and cancellations occur, requiring optimized data structures to handle high-load scenarios within strict time limits.

🚀 Key Features

• [cite_start]Smart Matching Engine: Utilizes a Integer Composite Score algorithm to rank freelancers based on skills, ratings, reliability, and burnout status[cite: 809].
• [cite_start]Dynamic Skill Evolution: Freelancers' skills (Technical, Communication, Creativity, Efficiency, Attention to Detail) evolve dynamically based on job performance and customer ratings[cite: 561, 580].
• Simulation Mechanics:
  • [cite_start]Burnout System: Freelancers experience performance drops if overworked[cite: 522].
  • [cite_start]Loyalty Tiers: Customers gain status (Bronze, Silver, Gold, Platinum) and discounts based on spending[cite: 854, 857].
  • [cite_start]Time Simulation: A simulate_month feature processes long-term changes like skill updates and loyalty calculations[cite: 539].
• [cite_start]Service Variety: Supports 10 different service types (e.g., Web Development, Painting, Tutoring) with unique skill requirement profiles[cite: 529].

🛠️ Technical Details

• Language: Java
• Architecture: Object-Oriented Design (Freelancer, Customer, Service classes)
• [cite_start]Data Structures: Custom implementations using ArrayList (Strict constraint: No other Java Collections allowed)[cite: 926].
• [cite_start]Performance: Designed to handle ~500,000 operations (Large Test Case) efficiently[cite: 911].

🧪 How It Works

The system processes commands from an input file to manage the marketplace lifecycle:

1. Registration: register_freelancer / register_customer
2. Job Request: request_job (Automatically finds and employs the best candidate)
3. Operations: complete_and_rate, cancel_by_customer, cancel_by_freelancer
4. Analysis: query_freelancer, query_customer, find_winning

💻 How to Run

1. Clone the repository:

   git clone [https://github.com/Nisanurdogan38618/Freelancer-Customer-Matching.git](https://github.com/Nisanurdogan38618/Freelancer-Customer-Matching.git)

2. Navigate to the source folder:

   cd src

3. Compile the project:

   javac *.java

4. Run with input/output files:

   java Main input.txt output.txt

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This project was developed as part of the CMPE250 Data Structures and Algorithms course (Fall 2025).