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
People receive scam messages every day through email, text, and chat apps, but many cannot tell which ones are dangerous. Without a simple tool to flag suspicious content and explain why it's risky, they are likely to fall for phishing links, fake payment requests, or pressure tactics that steal money or personal information.
Proposed Solution
SatarkAI addresses the problem of identifying scam messages by providing an intuitive tool that evaluates incoming communications and flags possible threats using both rule-based heuristics and advanced AI when available. This dual approach ensures that users can receive accurate, actionable insights about their messages, helping them navigate potential scams effectively.
What You'll Learn
Implement a rule-based risk scoring pipeline in Python
Design a channel-agnostic message normalization layer
Integrate optional LLM refinement with graceful fallback
Build a responsive single-page UI with vanilla JavaScript
Expose REST endpoints for analysis, feedback, and reporting
Technologies Used
Flaskrequests
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 non-technical user receives a text message claiming to be from their bank asking for an OTP; they paste it into SatarkAI, which immediately detects urgency terms, a suspicious URL, and a brand impersonation domain, scoring it 85/100 and advising them not to share the OTP.
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
23 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
12 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.
