Diary Analyzer AI

Diary Analyzer AI is an advanced tool powered by artificial intelligence, designed for analyzing and interpreting personal diary entries. It provides users with valuable insights from their daily recordings, identifying key themes, moods, and recommendations, aiding in better self-understanding and personal growth.

Visit the project here: diaryanalyzer.com

Features

Mood Analysis: Identifies the overall mood of the diary entries (positive, negative, neutral).
Theme Detection: Highlights key themes and topics covered in the entries.
Personalized Recommendations: Offers actionable advice and recommendations based on the analysis of diary entries.

Technologies Used

This project is built with a number of cutting-edge technologies and frameworks to ensure high performance and reliability:

Programming Language: Ruby 3.3.0
Web Application Framework: Rails 7.1.3
AI & Machine Learning: Utilizes the OpenAI API for analyzing text and extracting insights.
HTTP Client: Faraday for making network requests to external APIs.
Authentication: OAuth 2.0 with Omniauth for secure user authentication through external providers.
Jobs: ActionMailer with Sidekiq for sending emails from the application.
Real-Time Web: ActionCable for real-time features in Rails applications.
Payments: Stripe for processing payments securely.
Database: PostgreSQL for relational data storage and ElasticSearch for efficient, full-text search capabilities.
Frontend: Employs Hotwire (Turbo & Stimulus) for a modern, interactive user experience without the need for complex JavaScript frameworks.
Deployment: Hosted on DigitalOcean using Kamal.

Usage

Create `.env` file with the following variables:

POSTGRES_USERNAME=<your_postgres_username>
POSTGRES_PASSWORD=<your_postgres_password
DB_HOST=localhost

KAMAL_REGISTRY_PASSWORD=<your_dockerhub_access_token>
RAILS_MASTER_KEY=<your_rails_master_key> # config/master.key
SECRET_KEY_BASE=<your_secret_key_base> # generate with `rails secret`

SERVER_HOST=<your_server_host>
SENDGRID_API_KEY=<your_sendgrid_api_key>
REDIS_URL=<your_redis_url> # e.g. redis://<your_server_host>:6379/0
ELASTICSEARCH_URL=<your_elasticsearch_url> # e.g. http://<your_server_host>:9200

STRIPE_PUBLISHABLE_KEY=<your_stripe_publishable_key>
STRIPE_SECRET_KEY=<your_stripe_secret_key>
STRIPE_ENDPOINT_SECRET=<your_stripe_webhook_secret> # e.g. whsec_...
STRIPE_SUBSCRIPTION_PLAN_ID=<your_stripe_subscription_plan_id> # e.g. price_...

OPEN_AI_API_KEY=<your_openai_api_key> # e.g sk-...

OAuth2 credentials for Google and Facebook are required for user authentication. Generate Rails credentials with rails credentials:edit and add the following:

google:
  client_id: your_google_client_id
  client_secret: your_google_client_secret

github:
  client_id: your_github_client_id
  client_secret: your_github_client_secret

Run locally

bin/rails db:create db:schema:load
bin/rails s

Run with Docker

docker-compose build
docker-compose run web bundle exec rails db:create db:schema:load
docker-compose up

License

Diary Analyzer AI is released under the MIT License.

mrabets/diary-analyzer-ai