Seed Stage Startup Focused on AI Software Development
Project summary
We developed an AI-powered recommender system designed to efficiently match user resumes to appropriate job postings. The objective was to enhance the user experience by consolidating all available job postings on a single platform.
Challenge
The primary challenge was to create a system capable of aggregating job postings from various sources and providing instant, accurate job recommendations based on user resumes. The system needed to offer an intuitive and user-friendly interface for seamless interaction.
Discoveries
During the project, we discovered that integrating a Retrieve and Generate (RAG) model significantly streamlined the user interaction process. The drag-and-drop feature for resumes proved highly effective in simplifying the user experience. Additionally, leveraging neural networks and multiple variables enhanced the accuracy of job matching.
Value generated
85%
Increase in precision
The accuracy and relevance of job matches were notably increased, demonstrating our ability to deliver cutting-edge AI solutions that meet user needs and enhance platform functionality.
75%
Increase in recall
Users experienced a more seamless and efficient interface, allowing them to receive top job recommendations immediately after uploading their resumes.