Inspiration

Addresses the issue of skewed online ratings due to bots and sarcasm.

What it does

Calculates a "True Rating" using a 20/80 weight (20% stars, 80% sentiment).

How we built it

  • Backend: FastAPI (Python), Supabase (DB).
  • Frontend: React, Chrome Extension (JS).
  • AI/ML: VADER (speed), DistilBERT/RoBERTa (accuracy), NLTK.
  • Infrastructure: Docker.

Challenges

Solving the "Ratio Paradox" and implementing self-annealing AI.

Accomplishments that we're proud of

Creating the 3-layer architecture (Directives, Orchestration, Execution).

What we learned

Discovered that a 20/80 ratio is the "sweet spot" for stable ratings.

What's next for TrueRate.ai

Expanding to more platforms beyond Amazon.

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