WhatsApp Workout Assistant Chatbot with Gemini Large Language Model Integration and spaCy
Chatbot WhatsApp Asisten Workout dengan Integrasi Large Language Model Gemini dan spaCy
DOI:
https://doi.org/10.21070/ups.7006Keywords:
Workout, Chatbot, Natural Language Processing, Gemini, Large Language ModelAbstract
Exercise is essential for physical and mental health, reducing the risk of chronic diseases. However, the 2022 World Health Organization (WHO) report shows that 1.4 billion adults worldwide remain physically inactive. This research develops an exercise assistance chatbot to support individuals in maintaining a consistent workout routine. The system follows the Software Development Life Cycle (SDLC) iterative incremental model, with Natural Language Processing (NLP) via spaCy for text processing. The chatbot integrates Gemini’s Large Language Model (LLM) API for response generation. Evaluation results show strong performance, with an accuracy of 79%, precision of 85%, recall of 79%, and an F1-score of 77%. Black-box testing recorded a 91.67% success rate across 12 test scenarios. These results demonstrate that the exercise assistance chatbot effectively encourages a healthy lifestyle and serves as a practical solution for promoting physical activity.
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