EndorsedendorsedCompleted

AI-Powered Candidate Matching Web App

Services Covered:

Custom Software DevelopmentUI/UX DesignWebsite DevelopmentAPI Development
Project hero — replace with case study imagery
Industry
Industry

Human Resources & Staffing

Duration
Duration

8 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 January 2022

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
72/100
Good

Project Capability Score (PCS) estimates how capable Slash is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

PERSOL Asia Pacific

mapSingapore, Singapore

Project Summary

Slash designed and developed a cloud-based web application to automate candidate matching for a recruiting company, using React, PostgreSQL, AWS Lambda, a third-party AI matching service, and Bullhorn integration. User acceptance testing was successful; the vendor provided strong project management, clear documentation, and responsive communication, enabling the client to take over the product after delivery.

Key Challenges

  • Automate manual recruiting tasks
  • Generate best-matched candidates from thousands in the database
  • Match candidate résumé information to job descriptions automatically

Project Deliverables

  • Cloud-based web application
  • UX/UI design
  • Product design
  • Bullhorn API integration
  • AI matching integration
  • Backend using PostgreSQL and AWS Lambda

Project Solution

Slash ran a discovery phase and led product and UX/UI design, then implemented and delivered a cloud-based web application that automates recruiting workflows. The team developed a frontend in React and a backend using PostgreSQL and AWS Lambda, integrated Bullhorn via API, and connected an external AI matching service to extract job descriptions and generate ranked candidate lists. The engagement included a small dedicated team from Slash (CPO, product manager, UI/UX designer) and concluded with handover documentation and a short maintenance period.

Project Outcome

  • User acceptance testing was successful
  • Well-managed project with documented processes enabling client handover
  • Delivered the product and entered a maintenance stage

Platforms

  • CloudCloud
  • WebWeb
  • API/Integration PlatformAPI/Integration Platform

Tech Stack

  • React.jsReact.js
  • PostgreSQLPostgreSQL
  • AWS LambdaAWS Lambda

Client Endorsement

Overall Review Rating

4.38star4 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The user acceptance testing was successful, demonstrating the quality of the product built by Slash. The team was communicative, transparent, and responsive, and their project management was great. Additionally, their documentation was excellent, allowing the client to take over the product easily.

Anonymous

CPTO

Note: This endorsement is based on publicly available client feedback from external review sources.

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