Multimodal intelligent systems that integrate natural language processing with generative visual synthesis represent a frontier in intelligent information processing. This work addresses the design and evaluation of such a pipeline, using poetic content as a stress-test domain due to its high density of figurative language and abstract semantics. Building upon the PoemSum dataset, we construct a two-stage multimodal pipeline: first employing transformer-based models (BART and T5) for abstractive summarization, then leveraging Stable Diffusion for visual synthesis from the generated summaries. The summarization stage focuses on figurative interpretation that captures metaphorical and symbolic... More >

Ensuring the freshness of food products is essential for both acute and chronic health outcomes. However, significant health risks can be triggered by dietary resources subjected to improper storage protocols. Current methods are often unreliable and unfeasible for detecting food freshness. This research proposes an IoT-based food freshness detection system that uses biosensors and gas sensors to monitor perishable items like meat, produce, and dairy. The system is integrated with a mobile application that allows users to analyze food quality in real-time, based on predefined degradation thresholds. This study assists in providing valuable insights for future research and improving food safe... More >