Page 702 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



                      We craft age-adaptive experiences by analyzing behavioral patterns, cognitive levels, and
                      interests of visitors across generations—senior, adult, young, and juvenile. Whether simplifying
                      language for families, deepening historical narratives for scholars, or incorporating interactive
                      elements for youth, our solutions ensure relevance and engagement for all.

                      3. Diverse Style Customization

                      Catering to varied preferences, we offer multi-style interpretation options, including:
                      •    General: Accessible overviews for casual visitors
                      •    Engaging: Story-driven, interactive content for broad appeal
                      •    In-Depth: Academic insights for enthusiasts
                      •    Extended: Supplementary context for deeper exploration

                      This flexibility allows users to choose experiences that match their curiosity and visit goals.

                      4. End-to-End R&D Pipeline

                      Our process includes:
                      •    Data Collection: Curating multilingual, multimodal datasets to enrich model training
                      •    Proof-of-Concept Development: Rapid prototyping to validate technical feasibility in real
                           settings
                      •    Model Refinement: Iterative improvements to enhance accuracy, fluency, and scenario
                           adaptability
                      •    Standardization: Developing industry-aligned protocols for data security, model
                           interoperability, and service quality

                      These efforts not only drive product innovation (new features, expanded functionality) but also
                      set benchmarks for AI in cultural heritage, positioning us as both practitioners and standard-
                      bearers.


                      3      Use Case Requirements

                      REQ-01: Multimodal Interaction & Intelligent Language Capabilities

                      Yi Jiang Jie integrates natural language processing (NLP), image recognition, and speech
                      recognition technologies to deliver rich visual and auditory experiences for visitors. Its cultural
                      heritage large model—trained via deep learning on massive historical and cultural datasets—
                      enables intelligent agents to understand and generate human language, precisely parsing user
                      queries and delivering context-aware responses. This showcases exceptional interactivity and
                      adaptability, ensuring seamless engagement across diverse visitor needs.

                      REQ-02: Accessible Mini-Program Form Factor

                      Built as a mini-program, the product eliminates the need for physical device rental or return,
                      offering effortless access and updates. This design drastically lowers user access barriers
                      while reducing museums’ operational and maintenance costs—making advanced AI guidance
                      scalable and cost-effective for cultural institutions of all sizes.

                      REQ-03: Real-Time Personalization & Continuous Improvement







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