AI-Powered Data Query Engine for Flexie Inc.
Project scope
Categories
Cloud technologies Data analysis Information technology Artificial intelligence DatabasesSkills
microsoft azure operational efficiency scheduling transaction data sql (programming language) systems architecture postgresql azure openai artificial intelligence decision makingFlexie Inc. seeks to enhance its data accessibility by developing an AI-driven search engine that transforms transactional data into actionable insights through natural language queries. The project aims to leverage Azure, OpenAI, and internal Postgres SQL databases to create a user-friendly interface for both internal users and customers. This tool will enable users to ask complex questions, such as workforce scheduling and fulfillment rates, and receive precise, data-driven answers. The project will focus on integrating AI capabilities to interpret and process natural language inputs, ensuring that users can easily extract meaningful information from vast datasets. By doing so, Flexie Inc. aims to improve decision-making processes and operational efficiency.
The project will deliver a functional AI-powered search engine capable of processing natural language queries and providing accurate insights from transactional data. Key deliverables include:
- A user-friendly interface for querying data.
- Integration of Azure and OpenAI technologies with the existing Postgres SQL database.
- A comprehensive testing report demonstrating the system's accuracy and reliability.
- Documentation detailing the system architecture and user guidelines.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
About the company
Flexie creates a world that gives people flexibility and freedom to succeed and thrive. Our platform allows people (students and adults) to find jobs that match their lifestyles, interests, and aspirations while helping companies streamline finding untapped talent and adapt to evolving patterns in the workforce.