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Shadow Watch — Behavioral Intelligence & Account Security Platform
Description
Shadow Watch is a behavioral intelligence platform that continuously analyzes user interaction patterns to build behavioral profiles, detect anomalies, and strengthen account security without introducing friction to the user experience.
Instead of relying solely on passwords or one-time verification checks, Shadow Watch observes behavioral continuity over time to establish trust signals and identify potentially compromised sessions.
The system combines behavioral fingerprinting, activity analysis, risk scoring, and anomaly detection to help organizations recognize suspicious account activity before it escalates into an account takeover event.
Key Features
Behavioral fingerprint generation
User activity intelligence
Trust score calculation
Session anomaly detection
Account takeover prevention
Temporal behavior analysis
Privacy-conscious architecture
Tech Stack
Python • FastAPI • PostgreSQL • Security Engineering • Behavioral Analytics • Risk Scoring
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AI Invoice Automation Backend
I built an AI-powered backend that automates the process of handling invoices.
The system takes an invoice PDF as input, extracts important information such as invoice number, vendor name, invoice date, items, and total amount, and converts it into structured data that can be easily stored and processed.
What the system does
Uploads and processes invoice PDFs
Extracts text from invoices using OCR
Uses AI to identify and structure important invoice information
Validates the extracted data
Stores invoice information in a MySQL database
Provides REST APIs using FastAPI
Uses SQLAlchemy for database operations
Sends invoice-related information through email
Keeps API credentials and configuration secure using environment variables
Tech Stack
Python · FastAPI · MySQL · SQLAlchemy · OpenAI API · Tesseract OCR · PDF Processing · SendGrid
The main goal of the project was to reduce manual invoice data entry and automate the complete invoice-processing workflow through APIs.
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