🔮 Horoscope Predictor

Welcome to Horoscope Predictor, your cosmic bestie powered by machine learning and sprinkled with stardust. ✨
Choose your zodiac sign and reveal a personalized horoscope — trained on real data, delivered with love (and an SVM model behind the scenes).

Built using Flask, HTML/CSS/JS, and a trained SVM classifier, this app bridges the mystical with the mathematical. ♡

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🌟 Features

• 🔮 Predicts your horoscope based on your selected zodiac sign
• 💻 Trained using real horoscope data (SVM, 93.97% accuracy baby!)
• 🌈 Clean, dreamy UI with glowy animations
• 🧠 Integrated ML model via Flask backend
• 💫 Super smooth user experience (with a cute lil reveal button!)

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💽 Tech Stack

Frontend	Backend	Machine Learning
HTML, CSS, JS	Python + Flask	SVM Classifier (scikit-learn)

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🧠 How It Works

1. User picks a zodiac sign from the dropdown ♒️
2. The sign is sent via POST request to Flask backend 🔁
3. Flask returns a matching horoscope from a curated horoscope bank 🌙
4. The app displays it with animation + ✨vibes✨

Bonus: The model was trained on a dataset of over 5,000 horoscope entries, using SVM, Naive Bayes, and Random Forest.
SVM gave the best results and is the only model used in the app.

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🚀 Run It Locally

Clone the repo and feel the universe unfold:

git clone https://github.com/yourusername/horoscope-predictor.git
cd horoscope-predictor
Install the necessary dependencies:

pip install -r requirements.txt
Then run the Flask app:

python app.py
Open your browser and go to http://127.0.0.1:5000 to reveal your fate ✨

🗂 Project Structure

horoscope-predictor/
├── static/
│   ├── css/
│   │   └── style.css
│   ├── js/
│   │   └── script.js
├── templates/
│   └── index.html
├── models/
│   ├── SVM_horoscope.pkl         # ✅ used
│   ├── RF_horoscope.pkl          # ❌ not used
│   ├── NB_horoscope.pkl          # ❌ not used
│   └── vectorizer.pkl
├── app.py
├── requirements.txt
└── README.md

🧚‍♀️ Author
Made with love and a sprinkle of delusion by Swati Upadhyay 💫