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software provided by the project; 13. Processing of agricultural statistical data; 14. Monitoring of visitors and dissemination of the project. 4. Objectives: Evaluation of the floristic composition
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interactive laboratory guidance. Integrating AI endpoints (speech-to-text, text-to-speech, or LLM logic) to power the agent's interactive capabilities. Task 3: Technical Verification, Deployment & Reporting
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Python, R, MATLAB, Origin, Unscrambler, SIMCA or equivalent software. • Knowledge of analytical chemistry applied to food, environmental or biological matrices, with particular emphasis on experience in
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markers • Identification of the box or product; • Verification of the presence and arrangement of items; • Visual classification or segmentation using artificial intelligence; • Association of inspection