The carpooling application designed for residents of city Innopolis to organize economical and fast trips, find fellow travelers, and communicate seamlessly.

🎬 Demo

InnoCoGo.demo.mp4

📝 Project Features

Feature	Backend	Frontend
1. Telegram OAuth	✔	✔
2. Trip filtration	✔	✔
3. Trip creation/deletion and joining/leaving	✔	✔
4. Accepting/rejecting join requests	✔	✔
5. Notifications	✔	✔
6. Automatic translation of trip description	✔	✔
7. User rating/commenting	✔
8. Automatic group chat setup	✔
9. Voice message	✔
10. Fraud message detection (ML)
11. Distributed deployment	✔

Backend

The backend part of the application satisfies all the functions listed above, with the exception of "Fraud message detection (ML)".

Backend Technologies and Frameworks

• Go
• PostgreSQL
• Kafka
• Docker
• Long connection WebSockets
• viper for configuration management
• Makefile

Frontend

Currently frontend the project includes only the MVP. The final product of this project is under development.

🏃‍♂️ How to Run

LibreTranslate

1. Clone https://github.com/LibreTranslate/LibreTranslate/tree/main into a directory
2. Change the last line in run.sh from:

docker run -ti --rm -p $LT_PORT:$LT_PORT $DB_VOLUME -v lt-local:/home/libretranslate/.local libretranslate/libretranslate ${ARGS[@]}`

to:

docker run --name libretranslate -ti --rm --network=innocogo -p $LT_PORT:$LT_PORT $DB_VOLUME -v lt-local:/home/libretranslate/.local libretranslate/libretranslate ${ARGS[@]}

3. Create a shared network for docker containers using the command docker network create innocogo
4. Run LibreTranslate only in Russian and English using the command (./run.sh --load-only=ru,en )&

Telegram webhook

5. All self-signed certificates for the IP address are generated via:

openssl req -newkey rsa:2048 -sha256 -nodes -keyout PRIVATE.key -x509 -days 365 -out PUBLIC.pem -subj "/C=US/ST=State/L=City/O=pinkyhi/CN={HERE_IP}"

6. The endpoint for webhooks is registered in the telegram via:

curl -F "url=https://{HERE_IP}:8443/telegram_endpoint" -F "certificate=@PUBLIC.pem" https://api.telegram.org/bot{HERE_BOT_TOKEN}/setWebhook?secret_token={HERE_TG_SECRET_TOKEN_FROM_docker-compose.yml}

Docker

7. Fill the environment variables below

KAFKA_TOPIC=
KAFKA_HOSTS=localhost:9092

TG_BOT_TOKEN=
CERT_FILE=path/PUBLIC.pem
PKEY_FILE=path/PRIVATE.key
HOST=0.0.0.0
TG_SECRET_TOKEN=
PORT=
BACKEND_SECRET_TOKEN=
BACKEND_URL=
PERSISTENT_FOLDER=

DB_PASSWORD=
DB_HOST=
DB_PORT=5432
BOT_TOKEN=
TG_BOT_URL=
BACKEND_SECRET_TOKEN=
TRANSLATE_URL=http://libretranslate:5000
TRANSLATE_API_KEY=

POSTGRES_PASSWORD=

8. copy the docker-compose.yml and migrate_up.sh (ensure to modify its permissions to make it executable) files into the directory
9. run:

docker compose -f docker-compose.yml down -v
docker compose stop
docker compose rm -f
docker compose pull
docker compose up -d

./migrate_up.sh