🎭 Deepfake Image Detector
Upload any face image. The ML model (Random Forest + forensic features) will analyse it for deepfake patterns in real time.
Upload Image
Drag & drop an image
or click to browse
JPG, PNG, WEBP · max 10 MB
Or try a quick sample:
Detection Result
Result will appear here after analysis
Analysis Log
// Ready. Upload an image to begin.
🛡️ Cyberbullying Detector
Paste social media text to classify toxic, harassing, or bullying content using NLP analysis.
Input Text
Sample texts:
Classification Result
Result will appear here
🕸️ Dark Web Threat Monitor
Simulate crawling Tor hidden services and detect threat categories using NLP-based classification.
Scan Setup
Threat Network
Critical
High
Medium
Low
Findings
Run a scan to see findings
Crawl Log
// Dark web crawler on standby.
📋 Log Tampering Detector
Paste system logs to verify integrity using LSTM anomaly detection and hash-chain verification.
Log Input
Load scenario:
Integrity Report
Result appears here
Forensics Log
// LSTM Integrity Engine — Ready.
📡 Platform Dashboard
Unified view of all detection modules and session activity.
0
Total Scans
0
Threats Found
0
Warnings
0
Safe
Live Event Feed
// Waiting for analysis events…
Module Status
🎭 Deepfake DetectorCNN+RF
🛡️ Cyberbullying NLPBERT-sim
🕸️ Dark Web MonitorNLP+Crawl
📋 Log IntegrityLSTM
Project Info
Project: Intelligent Multi-Threat Cyber Forensics Platform
Team: Dhyan Kumar M, Vathsalya V, Meghana H J, Sammita Abhay
Guide: Mr. B S Umashankar, Professor
Course: CSEP23605 — 6th Semester Major Project Phase I
College: Dept. of CSE · GAT · 2025–26
ML Model: Random Forest (200 trees, 28 forensic features)