🌌 Cosmic Vedic Astrology Analyzer 🌠

Unlock celestial insights from event data using ancient Vedic astrology combined with modern data science

📌 Overview

This project analyzes historical or contemporary events through the lens of Vedic astrology, revealing hidden planetary patterns and cosmic influences. It processes event data (like earthquakes, financial events, or personal milestones) and performs sophisticated astrological calculations combined with machine learning analysis.

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🔍 Key Features

📊 Data Processing

Flexible CSV parsing - Handles multiple date/time formats automatically
Smart column detection - Identifies date, location, magnitude columns
Data normalization - Converts diverse formats into standardized astrological inputs

♉ Vedic Astrology Analysis

Planetary Positions: Calculates positions of all 9 Vedic planets (including Rahu/Ketu)
House System: 12-house Bhāva system with accurate cusp calculations
Aspects (Drishti): Full Vedic aspect patterns including special planetary aspects
Yogas: Detects significant planetary combinations (Raj Yoga, Gajakesari Yoga, etc.)
Planetary Strength: Shadbala-inspired strength calculations

🤖 Advanced AI Analysis

Event Clustering: Groups similar astrological patterns using K-Means and t-SNE
Feature Importance: Identifies most influential planetary positions using Random Forests
Network Analysis: Visualizes planetary relationship networks
Temporal Patterns: Detects cyclical patterns in event occurrences

🛠 Technical Implementation

Backend (Python/Flask)

Astronomical Calculations:
- Uses PyEphem for precise planetary positions
- Implements Lahiri Ayanamsa for sidereal zodiac
- Calculates special lunar nodes (Rahu/Ketu)
Machine Learning:
- Dimensionality Reduction: PCA + t-SNE for visualization
- Clustering: Optimal K-Means clustering with silhouette scoring
- Feature Analysis: Random Forest feature importance
- Network Analysis: NetworkX for planetary aspect graphs

Frontend

Interactive Visualizations: Chart.js for planetary distributions and patterns
Cosmic UI: Particle.js animated background with responsive design
Animated Transitions: AOS library for smooth scrolling effects

📂 Sample Datasets Included

Earthquakes (1995-2023)
- 28 years of global seismic activity
- Contains magnitude, depth, and location data
- Demonstrates planetary patterns in natural disasters
Historical Tsunamis
- Major tsunami events with impact data
- Shows lunar nodal (Rahu/Ketu) correlations

🚀 Getting Started

Prerequisites

Python 3.8+
pip package manager

Installation

# Clone repository
git clone https://github.com/ishanoshada/CosmicVedicAnalyzer.git
cd CosmicVedicAnalyzer

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run application
python api/app.py

Visit http://localhost:5000 in your browser after starting the application.

📝 How to Use

Prepare Your Data:
- Create CSV with events (date/time + location required)
- Example columns: "2020-01-01 14:30", 34.0522, -118.2437 (LA coordinates)
Upload & Analyze:
- Drag-and-drop your CSV file
- System auto-detects columns and formats
Interpret Results:
- View planetary position distributions
- Examine significant yogas and aspects
- Explore AI-generated clusters and patterns

🧠 Astrological Methodology

Core Calculations

Sidereal Zodiac: Uses fixed-star based 27° nakshatras
House System: Whole-sign houses from Ascendant
Planetary Aspects:
- Standard aspects (conjunction, sextile, square, etc.)
- Special Vedic aspects (Mars 4/8, Jupiter 5/9, etc.)
Planetary Strength:
- Sign placement (exaltation/debilitation)
- House position (kendras/trikonas)
- Aspect relationships

Yoga Detection

Identifies 50+ classical yoga combinations
Weighted by traditional astrological texts
Contextualized to event data patterns

🐳 Docker Installation (Alternative)

For containerized deployment:

# Clone repository
git clone https://github.com/ishanoshada/CosmicVedicAnalyzer.git
cd CosmicVedicAnalyzer

# Build Docker image
docker build -t cosmic-vedic-analyzer .

# Run in background
docker run -d -p 8989:8989 --name cosmic-vedic-app cosmic-vedic-analyzer

Visit http://localhost:8989 in your browser after starting the container.

Docker Management Commands:

# View logs
docker logs cosmic-vedic-app

# Stop container
docker stop cosmic-vedic-app

# Start container
docker start cosmic-vedic-app

# Remove container
docker rm cosmic-vedic-app

🌐 Deployment Options

🚀 VPS Deployment with Custom Domain

For production deployment with custom subdomain:

# 1. Deploy on VPS with Docker
docker stop cosmic-vedic-app
docker rm cosmic-vedic-app

# Run with updated configuration
docker run -d -p 8989:8989 --name cosmic-vedic-app --restart unless-stopped cosmic-vedic-analyzer

# Check if it's running
docker ps
curl http://localhost:8989

# 2. Install Nginx reverse proxy
sudo apt install nginx

# 3. Configure subdomain (e.g., cosmic.yourdomain.com)
sudo nano /etc/nginx/sites-available/cosmic-vedic

Nginx Configuration:

server {
    listen 80;
    server_name cosmic.yourdomain.com;
    client_max_body_size 100M;
    location / {
        proxy_pass http://localhost:8989;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
    }
}

# 4. Enable site and restart Nginx
sudo ln -s /etc/nginx/sites-available/cosmic-vedic /etc/nginx/sites-enabled/
sudo systemctl restart nginx

# 5. Update Docker container with restart policy
docker stop cosmic-vedic-app
docker rm cosmic-vedic-app
docker run -d -p 8989:8989 --name cosmic-vedic-app --restart unless-stopped cosmic-vedic-analyzer

# Check if everything is running
docker ps
curl http://localhost:8989

# 6. Optional: Add SSL with Certbot
sudo certbot --nginx -d cosmic.yourdomain.com

DNS Setup: Add A record in your domain provider:

Type: A
Name: cosmic (or your preferred subdomain)
Value: 147.79.101.193
TTL: 300

🤝 Contributing

We welcome contributions! Please see our Contribution Guidelines for details.

📜 License

MIT License - See LICENSE for details.

🌟 Acknowledgments

The Jyotish (Vedic astrology) tradition
Python astronomical community
Open-source data science ecosystem

<div align="center"> <p>"As above, so below" - Hermes Trismegistus</p> <p> <a href="https://github.com/ishanoshada">GitHub</a> • • <a href="mailto:ic31908@gmail.com">Contact</a> </p> </div>

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CosmicVedicAnalyzer

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