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When people in their 50s directly purchase health supplements and functional foods from Rakuten and others, they cannot accurately decipher Japanese ingredient labels. In particular, those in their 50s taking medication for chronic conditions may be exposed to health risks because certain ingredients (St. John's Wort, Coenzyme Q10, glucosamine, etc.) can interact with their medications, and they consume them unknowingly. The ingredient names of Japanese health foods differ from Korean notation, making accurate matching difficult even with translation tools.
Entering a Japanese health food product URL or a photo of the ingredient label translates the ingredients into Korean and cross-references them with the user's registered medication and allergy information, highlighting cautionary or contraindicated ingredients. It also indicates whether the ingredient is recognized as a health functional food by the MFDS.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |