Pomelo - анализ состава продуктов

Link to the website: Pomelo - Food analyzer

This is an app for analyzing product ingredients using photos or text! Take a photo of the composition label and get a detailed report:

• dangerous E-additives
• allergens
• sugar
• preservatives
• meat
• alcohol
• haram, and halal.

Technologies used: Typescript, React, NextJS, Mobx, Tanstack-query, Tailwind, HeroUI, NestJS, Python, Kafka, Docker, Prisma, PostgreSQL, Redis, MinIO, Grafana, Prometheus, Loki, Promtail, Microservices, Monorepository.

Prerequisites

Setup WSL 2 (for example Ubuntu) and install Docker. In setting select WSL 2 integration with Ubuntu. WSL 2 + Docker setup guide: https://dev.to/kristarking/setting-up-docker-on-windows-with-wsl2-3cje

Installation

1. Clone repository

git clone https://github.com/Color-Kat/Pomelo-food-analyzer.git ./Pomelo-food-analyzer

2. Copy .env.example to .env and fill in the necessary environment variables. You can request secret keys from @ColorKat.

3. Development mode:

docker compose up --build

4. Production mode:

docker compose -f docker-compose.prod.yml up --build

5. Wait until message Application is running on: http://localhost:3000 appears in the console.

6. Ping all microservices through kafka: open in browser http://localhost:3000/ping

Troubleshooting

If you face issues try to look for solutions in troubleshooting.md

Installation on MacOS (colima)

colima start --cpu 6 --memory 6
docker compose up --build

Microservices

All microservices are located in the ./apps directory.

• web (NextJS)
• api-gateway (NestJS)
• account (NestJS)
• scan (NestJS)
• product-analyzer (NestJS)
• ingredients-recognition (Python, OCR)

Architecture

figma

Logging and metrics

I use grafana stack for logs and metrics (Grafana, Loki, Promtail, Prometheus). To run application with logs and metrics, add corresponding flag:

docker compose --profile monitoring up