⬡ ABIS — Adaptive Behavioral Intelligence System

Resource Utilization Optimization Engine

Made by Kumar Subodh

🔗 Deployment Link:
https://abis-system.onrender.com/

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📁 Project Structure

ABIS/
├── app.py                  # Flask web server (run this for dashboard)
├── analyze.py              # Standalone CLI analysis + chart export
├── requirements.txt        # Python dependencies
├── models/
│   ├── __init__.py
│   └── abis_engine.py      # Core AI/ML engine
└── templates/
    └── index.html          # Premium web dashboard UI

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🚀 Quick Start (VS Code)

Step 1 — Open in VS Code

Go to:

File → Open Folder → Select the ABIS/ folder

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Step 2 — Create Virtual Environment

Open VS Code terminal and run:

python -m venv venv

Windows

venv\Scripts\activate

macOS / Linux

source venv/bin/activate

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Step 3 — Install Dependencies

pip install -r requirements.txt

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Step 4A — Run the Web Dashboard

python app.py

Then open:

http://127.0.0.1:5000

in your browser.

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Step 4B — Run CLI Analysis (No Browser Needed)

python analyze.py

This will:

• Print complete analysis results
• Save visualization as:

abis_analysis.png

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🤖 ML Pipeline

Model	Purpose	Algorithm
K-Means Clustering	Group usage behaviors	Unsupervised (k=4)
Random Forest	Classify resource states	Ensemble (100 trees)
Isolation Forest	Detect anomalies	Outlier detection
PCA	Visualize clusters	Dimensionality reduction

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🧠 Behavioral Classes

Idle

• CPU < 20%
• Memory < 40%

Normal

• Typical operating range

High

• CPU > 70%
• Memory > 75%

Critical

• CPU > 85%
• Memory > 85%

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📊 Features Analyzed

• CPU Usage (%)
• Memory Usage (%)
• Energy Consumption (units)
• Network I/O (%)
• Disk I/O (%)
• Hour of Day (temporal pattern)

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🌐 Web Dashboard Sections

Hero

System overview with live stats

Overview

6 metric cards with animated bars

Analytics

5 interactive Chart.js visualizations

AI Results

• Accuracy rings
• Feature importance
• Anomaly count

Train Panel

Retrain ML model live in browser

Recommendations

AI-generated optimization strategies

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🛠 Technology Stack

• Python — Core language
• NumPy / Pandas — Data processing
• Scikit-learn — ML models
• Matplotlib — Static visualization
• Flask — Web server
• Chart.js — Interactive charts
• Three.js — 3D particle background

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⚡ Version

ABIS v2.4 — Adaptive Behavioral Intelligence System