AI Health News Exaggeration Detector

3.35

Derivation Chain

Step 1 ChatGPT Health medical emergency recognition failure controversy

→

Step 2 Over-trust of health information among adults aged 40–60

→

Step 3 Unable to independently verify exaggeration in online health news and advertisements

Problem

A significant portion of health-related news and advertisements that people over 50 encounter on KakaoTalk and Naver Cafes (Korean messaging and community platforms) are exaggerated, distorted, or false, yet they cannot independently assess medical validity. Content claiming things like 'this food prevents cancer' or 'this supplement cures dementia' leads to unnecessary health supplement spending of $75–$375/month or delayed hospital visits.

Solution

Paste a health news/advertisement URL or text, and the system (1) extracts key claims, (2) assesses evidence level (clinical trial existence, FDA/MFDS approval status), and (3) provides links to relevant MFDS (Korean FDA) and medical guidelines. Results are displayed as a concise 'exaggeration risk' score.

Target: Adults aged 45–65, active KakaoTalk and Naver Cafe users, prior health supplement purchases, at least one chronic condition

Revenue Model: Free web service, monthly 'Fake Health News Trend Report' Subscription at $2.90/month, pharmacist/nutritionist consultation referral

Ecosystem Role: Education

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

4.0/5

V Validation

3.0/5

NUMR-V Scoring System

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.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (70%)

Tech Complexity

29.3/40

Data Availability

20.8/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

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.

Market Validation (54/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

9.0/15

Solo Buildability

7.0/10

Validation Breakdown

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.

Technical Requirements

Frontend [low] Backend [medium] AI/ML [medium]

Dashboard