Welcome to the Review AI Analyzer! Share your product or topic reviews, and our AI will provide summaries of the good, bad, and areas for improvement.

Live Demo 🚀

Key Features:

• Authentication.
• Create Entries/Topics for review.
• Create and delete Reviews about that entry/topic.
• When creating a new review, AI will automatically make a summary about good, bad and improvement points

• NextJS;
• Typescript;
• Tailwind;
• Prisma;
• MySQL;
• PlanetScale;

• Add score input into review prompt;
• Add most used positive, bad, and improvements from each entry using memory model;
• Add chart to follow review progress along time;
• Complete test implementation

Clone repository:

git clone https://github.com/dianacpg/review-analyzer-ai.git

Install dependencies:

npm i

Create Clerk account and add all secrets in .env.local:

NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=XXXXXXXX
CLERK_SECRET_KEY=XXXXXX
NEXT_PUBLIC_CLERK_SIGN_IN_URL=/sign-in
NEXT_PUBLIC_CLERK_SIGN_UP_URL=/sign-up
NEXT_PUBLIC_CLERK_AFTER_SIGN_IN_URL=/entries
NEXT_PUBLIC_CLERK_AFTER_SIGN_UP_URL=/new-user

Create OpenAI account and add secret in .env.local:

OPENAI_API_KEY=XXXXXXX

Database was created using PlanetScale, MySQL-compatible serverless database, that has a great developer experience. To do that, create an account, a database, install planetscale CLI and connect by running:

pscale auth login

pscale connect <YOUR_DATABASE_NAME> <YOUR_BRANCH> — port 3309

,

Connect db with prisma by adding secret in .env as in planetscale documentation

DATABASE_URL = 'mysql://[email protected]:3309/<YOUR_DATABASE_NAME>'

Run server

npm run dev