Mood Tracker App

Table of Contents

• Features
• Technologies Used

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Features ✨

🎯 Problem Statement 🎯

• Many people today face psychological problems such as stress, nervous reactions, and depression. These issues often lead to other complications.

💡 Solution 💡

• I decided to leverage my programming skills to tackle this problem. How? By developing an app that measures people’s daily and weekly mood levels and recommends books and activities accordingly.

🚀 How It Works 🚀

• The main working logic of the program is based on PANAS (Positive and Negative Affect Schedule) questions, which consist of 20 questions. These questions are a reliable source for determining the level of positive and negative effects on a person.

• You can answer the 20 questions using a scale from “Very slightly or not at all”(1) to “Extremely”(5). This process takes about 5 minutes. Then, with a special calculation, your negative and positive feelings are determined.

• Every evening at 22:00, I send you a link to answer these questions by email. After you enter the link and answer the questions, you can see your positive and negative feelings scores. Also, I recommend books and activities based on your scores.

• Your daily results are stored in the database. Then every Sunday at 22:00, your weekly results are emailed to you. And again, suitable books and activities are recommended for you.

🌐 Community Space 🌐

• The project has a community space where each user can share their results with everyone and see the results of others. The program has global correspondence where users can correspond with each other instantly.

📝 Sentiment Analysis 📝

• Finally, the program can find the sentiment level (“Very Negative”,“Negative”,“Neutral”,“Positive”,“Very Positive”) of text in any language you enter.

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Technologies Used 🔨🔧\

1. Kafka - A distributed streaming platform.
2. CI CD - Continuous Integration and Continuous Delivery/Deployment.
3. OAuth2 - Secure authentication.
4. JWT - Authentication and registration.
5. I18N - Multilingual support (Russian, Azerbaijani, English, German).
6. Resilience4J - Resilient and fault-tolerant architecture.
7. RabbitMQ - Message queue for operations like email notifications and subscription handling.
8. Elasticsearch + Logstash + Kibana - For powerful search and visualization capabilities.
9. Docker/docker-compose - Containerization and orchestration.
10. Eureka Service/API Gateway - Service discovery and routing.
11. Feign Client - Simplifies HTTP API calls within the microservices.
12. Validation - Robust validation mechanisms.
13. JPA/PostgreSQL - Database management.
14. Spring Mail - Provides functionalities for sending emails.