Sindhan Analyze

Machine learning engine for anomaly detection and pattern recognition in time-series data.

Overview

Sindhan Analyze applies unsupervised learning algorithms (isolation forests, DBSCAN clustering) to detect statistical anomalies in operational data. Supports streaming data analysis with configurable sensitivity thresholds and false-positive rate controls.

Key Features

Anomaly Detection

• Real-time identification of unusual patterns
• Early warning system for potential issues
• Fraud detection and prevention

Pattern Analysis

• Behavioral pattern identification
• Correlation discovery across data
• Complex pattern recognition

Analytical Insights

• Pattern-based anomaly detection
• Hidden relationship discovery
• Data-driven risk identification

How It Works

1. Data Collection: Gather data from multiple business systems
2. Pattern Detection: AI algorithms identify hidden patterns and anomalies
3. Analysis: Analyze behavioral trends and correlations
4. Insights: Generate actionable intelligence from patterns

Quick Deployment Guide

Prerequisites

• RAM: 16GB minimum, 64GB recommended for production
• OS: Linux (Ubuntu 20.04+), macOS, or Windows 10+
• Docker installed on your system
• GPU recommended for deep learning models

Deploy in Minutes

Production Deployment (Linux servers):

# Download and start with production configuration
curl -sSL https://get.sindhan.ai/analyze | bash -s production

Development/Testing:

# Download and start with minimal resources
curl -sSL https://get.sindhan.ai/analyze | bash

That's it! The system will:

• Download AI/ML containers with pre-trained models
• Configure pattern recognition engines
• Set up real-time analytics pipeline
• Initialize dashboard interface

Access & Configuration

1. Open Browser: Navigate to http://<your-server-ip>:8090

2. Basic Setup:

   • Organization Name
   • Admin Email
   • Time Zone (auto-detected)

3. Connect Your Systems:

   Data Sources:

   Database: [your-database-host]
   Username: [your-db-user]
   Password: [your-db-password]

   API Connections:

   Endpoint: [https://api.yourcompany.com]
   API Key: [your-api-key]

4. Select Analysis Types: Choose from templates:

   • Behavioral Pattern Analysis
   • Anomaly Detection
   • Correlation Analysis

5. Start Analysis: Click "Start Analysis" and wait 5-15 minutes

View Results

Access your dashboard at: http://<your-server-ip>:8090/dashboard

You'll instantly see:

• Pattern visualization maps
• Anomaly detection alerts
• Correlation matrices
• Behavioral insights

Production Recommendations

• GPU-enabled servers for faster deep learning inference
• Time-series database for pattern history
• Streaming infrastructure for real-time analysis
• 64GB+ RAM for large-scale pattern recognition

Technical Capabilities

• Algorithm Support: Isolation Forest, DBSCAN, LSTM autoencoders
• Data Throughput: 100K+ events/second with sub-100ms latency
• Statistical Metrics: Precision/recall tuning, ROC curve optimization
• Integration: Kafka, Redis streams, REST/GraphQL APIs

Need help? Email: support@sindhan.ai or visit our Support Center