Project Title: MindSync AI – Personal Emotional Intelligence & Conflict Resolution Coach Tagline: An AI-powered laboratory for mastering emotional intelligence, refining communication, and practicing high-stakes conversations. Overview Communication is hard, and tone is easily misunderstood. I built MindSync AI to act as a personal Emotional Intelligence (EQ) laboratory. It helps professionals, managers, and individuals navigate difficult conversations, de-escalate conflicts, and communicate with high-EQ empathy. Rather than just grammar checking, MindSync deeply analyzes the vibe and underlying emotion of what you want to say, acting as a sandbox to practice high-stakes interactions before they happen in real life. Key Features 🚀 Vibe Transformer: Paste an angry or passive-aggressive draft message, and the AI analyzes the tone, provides an EQ score, and suggests an assertive yet empathetic refinement. Conflict Lab (Interactive Role-play): A safe space to practice difficult conversations (e.g., "Asking for a raise" or "Giving critical feedback"). The AI dynamically plays the other person and gives you real-time, bracketed EQ feedback on your responses. Contextual AI Uploads (The Killer Feature): Users can upload context files (PDFs, Images, like a performance review or a previous angry email chain) to fuel the Vibe Transformer or Conflict Lab—giving the AI deep context for hyper-personalized advice. EQ Analytics Dashboard: Visualizes emotional resonance over time, tracking metrics like "Average Calmness," "Conflict Win Rate," and cumulative "EQ Quotient." Daily Insights: Context-aware psychological tips and actionable micro-steps based on the user's current mental state. My Role & Impact 🛠️ Designed a distinctive, modern "dark-mode" UI with intentional typography and smooth micro-animations heavily relying on Framer Motion. Integrated the Google Gemini API using advanced prompt engineering to act as a psychological coach. Developed complex data flows capable of handling multimodal inputs (text + document/image context) securely via base64 encoding.