🎉 CycleSenseAI

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🚀 Project Overview

CycleSenseAI is a smart period tracker featuring a sleek, user-friendly GUI built with CustomTkinter. It uses an LSTM model to predict the next cycle date accurately and offers multiple features including different modes and an embedded chatbot for personalized assistance. The backend is securely powered by Supabase, supporting user authentication and data management.

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✨ Features

• 🖥️ CustomTkinter-based intuitive GUI
• 🔮 LSTM model for next cycle date prediction
• 🤖 Embedded chatbot for cycle-related assistance
• 🔒 Secure login and data storage via Supabase
• ⚙️ Multiple user modes for personalized tracking

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🛠️ Tech Stack

🔧 Category	🛠️ Technologies Used
🐍 Programming	Python 3.10+
🎨 GUI	CustomTkinter
🤖 Machine Learning	LSTM (PyTorch / TensorFlow)
💬 NLP / Chatbot	Custom chatbot embedding
☁️ Backend	Supabase (PostgreSQL, Authentication)
📊 Data Handling	Dataset from Kaggle (Menstrual Cycle Data)
📁 Files	Trained model weights (.pth), datasets in /dataset folder

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🗂️ Project Structure

## 🗂️ Project Structure

```plaintext
CycleSenseAI/
│
├── images_used/             # All UI images and assets used in the app
├── dataset/                 # Kaggle dataset and preprocessed files
├── models/                  # Trained LSTM `.pth` model files
├── main.py                  # Main application entry point (runs the full app)
├── gui.py                   # GUI components (CustomTkinter main interface)
├── chatbot.py               # Chatbot embedding and logic
├── database.py              # Supabase backend integration and authentication
├── first_page.py            # Initial GUI page (welcome/get started)
├── forgotpassword.py        # GUI and logic for 'Forgot Password' feature
├── getstarted.py            # First entry page for new users
├── login.py                 # Login GUI and credential handling
├── phase_calculation.py     # Logic for menstrual phase calculation
├── signup.py                # Signup GUI and logic for new accounts
├── bot2.py                  # Chatbot GUI and interaction logic
├── insights.py              # Main dashboard: date prediction, mood selection, articles
├── tracker.py               # Calendar GUI, LSTM input setup for predictions
├── modellstm.py             # LSTM model definition and loading
├── requirements.txt         # Python dependencies
└── README.md                # This file

📷 Screenshots

Login Page	Signup Page

Main Dashboard	Transaction History

These interfaces were designed to demonstrate ease of use and clean UX for users — all powered by the flexibility of Python.

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## 📩 Contact

**👩‍💻 Afnan Shoukat**  
📧 Email: [afnnashoukat35@hmail.com](mailto:afnnashoukat35@hmail.com)  
🔗 LinkedIn: [www.linkedin.com/in/afnan-shoukat-030306267](https://www.linkedin.com/in/afnan-shoukat-030306267)

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