JARROD SIMPSON
Project_04
FORKCHECK.
Restaurant reviews you can actually watch.
A restaurant discovery platform where diners record short video critiques instead of typing star ratings. An AI pipeline transcribes and summarizes every video, surfaces a highlight quote and sentiment score, and rates the visit across five categories — while verified badges spotlight Black-owned restaurants.
Reviews You
Can Trust.
Star ratings are easy to fake and hard to trust. ForkCheck replaces them with something a diner actually has to mean: a short video, said in their own words, processed into a fair and legible score.
Video-First Reviews
Diners record a short video critique on the spot instead of typing a rating — raw, honest, and far harder to fake than a text review.
AI Sentiment Engine
Whisper transcription feeds an LLM pipeline that pulls a highlight quote and sentiment score out of every video, automatically.
Verified & Owner Insights
Verified badges spotlight Black-owned restaurants, while owners get a sentiment and reach dashboard built from the same review data.
Technical Arsenal.
Built as a fast, modern single-page app with an AI pipeline doing the heavy lifting behind every video upload — transcription, scoring, and dashboarding all happen without the diner ever seeing the machinery.
Video → Transcript → Score Pipeline
Examine the Architecture.
Review the source code, implementation details, and contribution guidelines on the public repository.