AI-Powered Sentiment Analysis for Election Predictions

A sophisticated web application that analyzes Twitter sentiment to predict election outcomes using AI-powered Natural Language Processing

• 🎨 Modern UI: Glassmorphism design with smooth animations
• 📊 Interactive Charts: Real-time data visualization
• 🎯 Accurate Predictions: AI-powered sentiment analysis
• 📱 Responsive Design: Works on all devices
• 🇮🇳 Indian Theme: Flag colors and cultural elements
• ⚡ Fast Performance: Optimized for speed and efficiency

Indian-Election-Sentiment-Analysis/ ├── 🐍 app.py # Flask backend application ├── 📋 requirements.txt # Python dependencies ├── 📄 README.md # Project documentation ├── 📁 data/ # Data files │ ├── 📊 modi_reviews.csv # Modi sentiment data │ └── 📊 rahul_reviews.csv # Rahul Gandhi sentiment data ├── 📁 static/ # Static files │ ├── 🎨 css/ # Stylesheets │ │ └── style.css # Main CSS file │ ├── ⚡ js/ # JavaScript files │ │ └── script.js # Main JavaScript file │ └── 🖼️ images/ # Image files │ ├── Prime_Minister_Of_Bharat_Shri_Narendra_Damodardas_Modi.jpg │ └── Rahul_Gandhi.png └── 📁 templates/ # HTML templates └── index_clean.html # Clean template

• Python 3.8+
• pip package manager
• Git

1. 📥 Clone the repository

   git clone https://github.com/Avisav24/IndianElection_ResultPredictor.git cd IndianElection_ResultPredictor

2. 🐍 Create virtual environment

   python -m venv venv # On Windows: venv\Scripts\activate # On macOS/Linux: source venv/bin/activate

3. 📦 Install dependencies

   pip install -r requirements.txt

4. 🚀 Run the application

   python app.py

5. 🌐 Open in browser

   Navigate to http://localhost:5000

1. 🏠 Homepage

   • View political candidates and their information
   • See candidate profiles with images

2. 📊 Analyze

   • Click the "Analyze Sentiment" button
   • Watch the real-time progress indicator

3. 📈 Results

   • View detailed sentiment statistics
   • See prediction results with confidence scores
   • Explore interactive charts and visualizations

4. 🎯 Charts

   • Interactive bar charts showing sentiment distribution
   • Pie charts for quick visual understanding
   • Hover effects for detailed information

Technology	Purpose	Version
	Web Framework	2.0+
	Core Language	3.8+
	Sentiment Analysis	Latest
	Data Processing	Latest
	Numerical Computing	Latest
	Chart Generation	Latest

Technology	Purpose	Features
	Markup	Semantic, Accessible
	Styling	Glassmorphism, Animations
	Interactivity	ES6+, Async/Await
	Visualization	Interactive Charts

graph TD A[Twitter CSV Data] --> B[Data Loading] B --> C[Text Preprocessing] C --> D[TextBlob Analysis] D --> E[Sentiment Classification] E --> F[Statistical Analysis] F --> G[Chart Generation] G --> H[Web Display] 

• Format: CSV files with Twitter sentiment data
• Processing: Real-time sentiment analysis using TextBlob
• Visualization: Multiple chart types for comprehensive analysis
• Caching: Optimized performance with intelligent caching

{ "status": "success", "data": { "sentiment_stats": { "positive": 45.2, "negative": 32.1, "neutral": 22.7 }, "prediction": { "winner": "Candidate Name", "confidence": 78.5 }, "charts": { "bar_chart": "plotly_json", "pie_chart": "plotly_json" } } }

We welcome contributions! Here's how you can help:

1. 🍴 Fork the repository

   Click the "Fork" button at the top right

2. 📥 Clone your fork

   git clone https://github.com/your-username/IndianElection_ResultPredictor.git cd IndianElection_ResultPredictor

3. 🌿 Create a feature branch

   git checkout -b feature/amazing-feature

4. ✨ Make your changes

   • Follow the existing code style
   • Add comments for complex logic
   • Test your changes

5. 📝 Commit your changes

   git commit -m "✨ Add amazing feature"

6. 🚀 Push to your branch

   git push origin feature/amazing-feature

7. 🔄 Open a Pull Request

   Go to the repository and click "New Pull Request"

• 🎨 UI/UX improvements
• 📊 New chart types
• 🔧 Performance optimizations
• 🐛 Bug fixes
• 📝 Documentation improvements
• 🌐 Internationalization
• 📱 Mobile enhancements

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License - Feel free to use, modify, and distribute! 

Note: This prediction is based solely on Twitter sentiment analysis and should not be considered as a definitive election forecast.

Actual election results depend on many factors including:

• Voter turnout patterns
• Regional preferences
• Ground-level campaign effectiveness
• Socio-economic factors
• Last-minute political developments

Need help? We're here for you!

• 📧 Email: Create an issue
• 💬 Discussions: GitHub Discussions
• 🐛 Bug Reports: Issue Tracker
• 💡 Feature Requests: Feature Requests

• 🙏 Thanks to all
• 📚 TextBlob for NLP capabilities
• 📊 Plotly for beautiful visualizations
• 🌐 Flask for the web framework
• 🎨 CSS Glassmorphism community

Made with ❤️ in India
© 2025 Indian Election Predictor | Powered by TextBlob NLP & Plotly