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@@ -5,6 +5,15 @@ Peacify is a mobile app designed to help users analyze and manage their mental h
 
 ---
 
+## 📝 **Resume Highlights**
+- See [RESUME_POINTS.md](./RESUME_POINTS.md) for a project-wide, resume-ready summary.
+- Built a cross-platform Flutter app using BLoC with Firebase authentication and storage for secure user onboarding.
+- Integrated two Flask-hosted ML models (depression severity and stress scoring) to deliver personalized mental health insights.
+- Added an AI chatbot plus curated helpline, psychiatrist directory, diet plans, and calm music to support user well-being.
+- Tested and deployed backend APIs on Render, using Postman for verification.
+
+---
+
 ## 🌟 **Features**
 
 1. **🛂 Login and Signup**
diff --git a/RESUME_POINTS.md b/RESUME_POINTS.md
new file mode 100644
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+## Resume Bullet Points (Project-Wide)
+
+- Built a cross-platform Flutter app using BLoC with Firebase Authentication and Google Sign-In to gate onboarding/login/signup flows into the multi-screen home experience.
+- Integrated wellness features across the app: helpline and psychiatrist directory screens, diet plans, calm-music player, and stress/depression survey UIs that call hosted APIs for personalized scores.
+- Developed Python/Flask ML services, including a PyTorch intent-classifier chatbot (`/chat`) and a stress prediction API (`/predict`) backed by trained models and datasets.
+- Connected the Flutter client to the Flask APIs via HTTP (e.g., survey submission to the Render-hosted endpoint) to deliver in-app mental health insights.