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#15

EvidenceWise

0.00score
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charlottechew8/evidencewise-hackathon
OtherOPC-SG

Health misinformation isn't just coming from influencers anymore—it's coming from everywhere. People are constantly exposed to conflicting health advice from social media, Google, AI chatbots, news articles, and even healthcare professionals. One expert says a food is beneficial, another says it's harmful. One AI says "yes," another says "no." For the average person, it's almost impossible to know who—or what—to trust. As a Registered and Accredited Nutritionist who has delivered more than 500 nutrition and wellness talks, the most common question I hear is: "I saw this on social media... is it true?" But what concerns me even more is the next question people ask: "My doctor says this about nutrition, but you said something different. Which one is true?" People aren't just looking for another opinion—they're looking for the truth, backed by the best available scientific evidence. That's why I built EvidenceWise. EvidenceWise is an AI-powered evidence verification platform that doesn't ask who made the claim—it asks what does the best scientific evidence say? Instead of relying on popularity or internet content alone, EvidenceWise analyzes and ranks scientific research based on evidence quality, prioritizing high-level evidence such as systematic reviews, meta-analyses, and randomized controlled trials. It then delivers a simple verdict—Yes, Maybe, or No—supported by a transparent explanation of the evidence. Users can simply paste a YouTube video, TikTok, Instagram Reel, article, or any health claim into EvidenceWise. Within seconds, the platform evaluates the claim against current scientific literature, highlights the strength of the evidence, identifies funding disclosures and potential conflicts of interest, and explains whether the claim is supported by credible research. Our mission is to empower everyone to make health decisions based on evidence—not opinions, popularity, or algorithms.

Offline Participation: SG_OPC_0712

Score breakdown

GitHub size · 50%X / social · 50%
0.6×0+0.4×0=0
GitHub size0 (50%)
Stars0 → 0
Forks0 → 0
Size score0
Weight× 0.6
X / social0 (50%)
Likes0
Replies0
Quotes0
Reposts0
Social score0
Weight× 0.4

Category comparison

GitHubSocial

#3 / 84 in category · OtherTop 4%

This project0
Category avg0.63
Category best33.65

Score History

2026-07-25

0.00

Total Size Social
0.30.20.10.10.0Jul 12Jul 25

Execution flow

01Submit
GitHub repo + X post submitted with a wallet-signed payload.
02Fetch
Stars, forks and X engagement are pulled and snapshotted daily.
03Score
Size (GitHub) and social (X) are scored, then category-weighted.
04Rank
Ranked against the field; the daily trend is recorded.