Task Overview

This task focuses on developing a scheduling algorithm to match customers' service requests with service providers based on their expertise and availability. The algorithm will use the data provided by the service providers (e.g., expertise, certifications) and customer service requests to assign the right technician to each job.

1. Fork the Repository
   Fork the LapProFix repository to your local machine.

2. Install Packages
   Navigate to the project directory and install the necessary packages using: bash npm install i

3. Run the Project
   bash npm run dev

4. Understand the Data

   • Review the service provider data, including:
     • Fields of expertise (e.g., display repair, keyboard issues, cleaning, upgrades).
     • Certification and authorization status.
     • Number of technicians available.
   • Understand the customer service requests from the cart, which will include the type of service needed (e.g., display repair, keyboard fix).

5. Design Scheduling Algorithm

   • Create an algorithm that matches the customer’s service request with a service provider based on:
     • Expertise of the service provider.
     • Availability of technicians.
     • Certification/authorization status.
     • Customer’s location (optional, based on service proximity).

6. Optimize Scheduling

   • Ensure that the algorithm efficiently assigns jobs to service providers based on availability and specialization to minimize customer wait times and balance workloads.

7. Implement the Algorithm

   • Integrate the scheduling logic with MongoDB to fetch provider data and customer requests.
   • Match customers to the most qualified and available service provider for each job.
   • Provide real-time updates to customers about the status of their technician assignment.

Expected Outcome

• The scheduling algorithm efficiently assigns service requests to the most appropriate service provider based on expertise and availability.
• Real-time updates are provided to both customers and service providers about job assignments.
• The system ensures a balanced workload distribution among technicians and minimizes wait times for customers.