I’ve always believed that technology should do more than just execute tasks—it should help us understand ourselves. That’s why I built MoodJournal, a full-stack AI application designed to bridge the gap between mental wellness and data analytics. MoodJournal isn’t just a diary; it’s an intelligent companion, the app analyzes journal entries to detect subtle emotional nuances, providing users with actionable insights into their mental well-being. Key Features: * Smart Sentiment Analysis: Real-time emotion detection using a Gemini API. * Deep Analytics: Visualizing mood trends over time with interactive charts. * Personalized Goals: AI-driven suggestions for mental growth. * Privacy First: Secure JWT authentication and local-first data principles. Building this taught me the power of connecting robust backend architecture (Java Spring Boot) with a reactive, intuitive frontend (React + Tailwind). Excited to share this journey of merging psychology and software engineering! 🚀