Building an Income Tax Fraud Detection System | Live AI & ML Project
Автор: Akash Kobal Live
Загружено: 2025-12-23
Просмотров: 20
Описание:
In this live session, I build an Income Tax Fraud Detection system from scratch using AI & Machine Learning.
This is not a theory-heavy walkthrough. We take a real-world problem and turn it into a working, executable system, focusing on how such solutions are actually designed and built in practice.
What you’ll learn in this live build:
Understanding tax fraud detection from a data and system perspective
Feature selection and data preprocessing for financial datasets
Applying ML models to identify suspicious tax patterns
Evaluating model performance and discussing real-world limitations
How fraud detection systems are used by governments and enterprises
Translating ML ideas into production-oriented backend logic
The emphasis is on engineering thinking, data-driven decisions, and practical system design — not just model accuracy or theory.
If you’re interested in:
Applied Machine Learning
Real-world AI use cases
Fraud detection systems
Building ML projects that matter for jobs and interviews
this live session is for you.
Project Code:
https://github.com/Akash-Kobal/Income...
All code, logic, and design decisions are explained clearly as we build, step by step.
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