Project Overview

• Develop an AI program that can read and analyze multiple technical documents related to STM32 microcontrollers.
• The AI will focus on extracting clock-related data to build a comprehensive clock graph, aiding engineers and developers in understanding and configuring clock settings efficiently.

Responsibilities

• Data Extraction: Develop an AI model to read and understand STM32 datasheets, user manuals, and architectural guides.
• Information Synthesis: Extract and synthesize clock-related data from these documents.
• Graph Construction: Build a detailed clock graph for various STM32 microcontroller models.
• User Interface: Create a user-friendly interface using Node.js and TypeScript, integrated with Theia and GLSP for visualization.
• Testing and Validation: Test the AI program with different STM32 models and documents to ensure accuracy and reliability.
• Documentation: Prepare comprehensive documentation and user manuals for the AI program.

Skills Required

• Proficiency in AI and machine learning concepts.
• Experience with STM32 microcontrollers and their documentation.
• Familiarity with Node.js, TypeScript, and Theia GLSP.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.

For application inquiries, please contact us via email.