SafeNest AI-Powered Smart Home Security Store

Domain / Category

Artificial Intelligence

Introduction

The proposed project is SafeNest AI-Powered Smart Home Security Store, an advanced e-commerce platform for purchasing smart security devices such as cameras, alarms, smart locks, motion sensors, and AI-based surveillance systems. SafeNest provides a secure and intelligent shopping experience where users can explore, compare, and purchase smart home security solutions. Since this platform deals with personal safety products and user home details, it integrates robust cybersecurity measures to protect customer data and financial transactions. Artificial Intelligence (AI) will enhance the platform by offering smart product recommendations, real-time threat analysis tips, and fraud detection, ensuring that users not only buy security devices but also receive guidance on improving home safety.

Functional Requirements

User Requirements:

User Registration & Login (with email/phone verification and password hashing)

Smart Security Product Browsing & Searching (CCTV cameras, smart locks, alarms, etc.)

Product Filtering & Sorting (by brand, features, price, home size)

Shopping Cart Management

Secure Checkout & Payment Gateway Integration

Order History & Tracking

AI-based Product Recommendations (suggesting the best devices based on home type, size, and

location)

Home Security Risk Analyzer (AI tool that provides a security score and suggests devices accordingly)

Secure Messaging System (chat with security experts for installation advice)

Profile Management (edit personal details, manage shipping addresses)

Admin Requirements:

Admin Dashboard (manage users, products, and orders)

Product Management (add, edit, delete smart security devices with specs)

Order Processing & Status Management

Customer Support & Live Assistance Management

Sales & Revenue Analytics (track top-selling products and sales trends)

AI-based Fraud Detection System (detect fake transactions, suspicious logins, or hacking attempts)

Role-Based Access Control (admins, support staff, and security consultants)

Cybersecurity Features

Security is critical because the platform deals with home security equipment and personal user data. Secure Authentication & Authorization (Password Hashing, Two-Factor Authentication) SQL Injection & XSS Prevention

Cross-Site Request Forgery (CSRF) Protection

SSL/TLS Encryption for secure data transmission

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Role-Based Access Control to prevent unauthorized admin panel access

Regular Security Monitoring & Logs for tracking suspicious activities

AI-powered Fraud Detection to identify fake orders or payment attacks

AI Integration

AI-driven Product Recommendations (suggest devices based on home size, neighborhood risk, and past purchases)

AI Security Risk Analyzer (analyze user’s input about their home and provide a “Home Safety Score”)

AI Fraud Detection (monitor payment patterns for abnormal activity)

AI Chatbot for Security Guidance (help customers choose the best devices and answer setup queries 24/7)

The AI module will use Machine Learning (Collaborative & Content-Based Filtering) for product recommendations, Anomaly Detection (Supervised/Unsupervised Learning) for fraud detection, and Natural Language Processing (NLP) for the chatbot and security guidance. The Home Security Risk Analyzer will apply Classification & Scoring Algorithms to calculate a safety score based on user input.

Tools & Technologies

Frontend: HTML, CSS, Bootstrap, JavaScript

Backend: PHP (Laravel recommended for security)

Database: MySQL

Security Measures: SSL/TLS, CSRF Protection, Password Hashing, XSS Prevention

AI Integration: Python AI Modules (for risk analysis & recommendations), Chatbot APIs (Dialogflow/ChatGPT API)

Reference Appendix – AI Techniques & Implementation Guidance

Recommendation Systems

Real Python: Build a Recommendation Engine with Collaborative Filtering

Analytics Vidhya: Comprehensive Guide to Recommendation Engines in Python

Fraud Detection with AI

Codementor: Machine Learning in Fraud Detection – A Simple Guide

AI Chatbots (NLP-based)

ProjectPro: Python Chatbot Project – Build a Chatbot from Scratch

Integrated Example

Medium: LLM-Powered Fraud Detection Chatbot with Python

Reference Appendix – Cybersecurity Techniques & Implementation Guidance Secure Authentication & Password Hashing

OWASP: Password Storage Cheat Sheet

(Guidelines for using hashing algorithms like bcrypt, Argon2, or PBKDF2 for storing user passwords securely.)

SQL Injection & XSS Prevention

OWASP: SQL Injection Prevention Cheat Sheet

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