A multilingual rule‑engine for scam detection with optional LLM enhancement
About This Project
A Flask-based web application that analyzes messages from SMS, email, WhatsApp, and voice calls to detect scams using rule-based pattern matching with optional LLM enhancement, storing detection history in SQLite for timeline tracking and daily reporting.
Problem Statement
Every day, millions of people receive scam messages designed to steal money or personal data. They try to figure out if a message is real by guessing, often missing the subtle clues. Meanwhile, off‑the‑shelf antivirus and spam filters often miss scams that don’t contain malware, leaving ordinary users without a reliable way to know what’s safe.
Proposed Solution
SatarkAI Scam Shield addresses the problem of scam detection by providing an efficient system that analyzes messages in real-time, applying a combination of rule-based scoring and optional language model enhancements to deliver accurate risk assessments and clear guidance, all while respecting user privacy.
What You'll Learn
Implement a multi‑signal rule‑based risk scoring engine
Extract domain‑specific entities with regular expressions
Integrate an optional LLM refinement layer with graceful degradation
Design a vanilla‑JS single‑page application that communicates with a REST API
Build file‑based storage with feedback and history features
Technologies Used
FlaskrequestsSQLitePythonVanilla JavaScript
Industry-Ready Preparation
This isn't just a project — it's a simulation of how software actually gets built inside a company. You'll see how real teams gather a client's requirements, negotiate trade-offs, and ship in sprints instead of all at once, while picking up the daily rhythm of an engineer's (and tester's) week along the way.
Working With Clients
Requirement gathering, scope negotiation, and expectation management — the way client-facing teams actually handle it.
A Day In The Life
Stand-ups, code reviews, bug triage, and release day — the real rhythm of an engineer's (and tester's) week.
Agile, In Practice
Sprints, backlogs, and retrospectives — see how requirements evolve iteration over iteration, not just in theory.
How Companies Ship Software
From scoping to staffing to shipping — the full lifecycle behind a project like this one, end to end.
Real-world deployment context
A regional bank deploys SatarkAI on‑premises to analyse SMS and in‑app chat messages before they reach customers, flagging social‑engineering scams in real time without sending any data outside the bank’s network.
Everything You Get
13 inclusions
One purchase, the entire toolkit — nothing held back, nothing sold separately.
Complete source code
Full, runnable codebase — yours to keep
Set up in one click
Guided, ready-to-run setup — no guesswork
Real product screenshots
7 screenshots of the actual working app
Professional documentation
12 documents — SRS, setup guide, project report
Line-by-line code walkthrough
Every feature explained, module by module
Guided learning path
33 concepts, sequenced for mastery
Step-by-step build roadmap
7-phase plan from zero to shipped
Narrated demo video
Full walkthrough of the working app
Viva & exam preparation
11 examiner-style Q&A, fully answered
Interview-ready Q&A
Interview prompts, tied to your code
AI chat assistant
Ask questions about the code, get instant answers
Technical support
Real help via WhatsApp when you're stuck
Portfolio-worthy build
Showcase it to recruiters with confidence
Project Diagrams
Standard & Premium
Locked
Locked
Locked
Locked
6 architecture & design diagrams(HLD, LLD & more) — unlocked with the Standard or Premium plan.
