📌 Product Background
It's hard to understand nutrition info when eating out. Most recipe platforms lack personalized health-based suggestions. appetAIwan integrates AI technology with a LINE bot to recommend meals based on your health profile.
APPETITE + AI + TAIWAN = Personalized Meal Suggestions for You
It's hard to understand nutrition info when eating out. Most recipe platforms lack personalized health-based suggestions. appetAIwan integrates AI technology with a LINE bot to recommend meals based on your health profile.
She wants to manage her condition through food instead of medication. After selecting "Hypertension," the system filters and recommends simple, easy-to-follow recipes.
Looking for quick, weight-loss-friendly recipes. After work, he uses the LINE Bot to enter his goals and receives tailored recipe recommendations with nutritional info.
🎯 Positioning: LINE users
aiming for weight or blood pressure control, who cook at home
regularly or occasionally.
💰 Price: Basic features are
free; premium features use a feature-unlock model.
📢 Promotion: Social media
campaigns, KOL & nutritionist collaborations, QR codes at
clinics/gyms/markets.
📍 Place: Primarily via LINE
Bot; website access under development.
💪 Strengths: Uses LLM + RAG
for intelligent recommendations; no app installation needed.
⚠️ Weaknesses: Users may not
fully trust AI recommendations.
🚀 Opportunities: Growing
health-focused food market; potential for cross-industry
partnerships.
⚡ Threats: Easy to replicate;
existing large health platforms present competition.
Explore our comprehensive project reports and technical documentation
Our technical architecture demonstrates the integration of AI technologies with LINE Bot platform.
Complete system workflow showing LINE Platform integration with Cloud Infrastructure, from user message to AI-powered response via RAG Engine and TDEE Module.
Retrieval-Augmented Generation for accurate recipe recommendations
Seamless integration with popular messaging platform
Scalable deployment with Flask and Firebase
Advanced language model for natural conversations