Project Title: MediSmart Online Pharmacy
Category: Web Application
Project File: Download Project File
Sohail Aamir
sohailaamer@vu.edu.pk
sohailaamir22
Domain/Category:
Web Application
Introduction
The proposed project is MediSmart Online Pharmacy, an advanced e-commerce platform that enables users to purchase medicines and healthcare products conveniently. MediSmart Online Pharmacy will provide a secure and AI-enhanced online medical and pharmaceutical shopping experience. It will include robust security features to protect sensitive data while using AI to enhance user engagement. The system will efficiently cater to both users and administrators, ensuring a seamless and safe healthcare product purchase process. It will integrate cybersecurity measures to protect user data and transactions. Additionally, artificial intelligence (AI) features will be incorporated to enhance user experience and security.
Functional Requirements
User Requirements:
· User Registration and Login (with email verification and password hashing)
· Medicine and Healthcare Product Browsing and Searching
· Product Filtering and Sorting (by category, brand, symptoms, etc.)
· Shopping Cart Management
· Secure Checkout and Payment Gateway Integration
· Order History and Tracking
· AI-based Product Recommendations (suggesting relevant medicines based on user history)
· Secure Messaging System for Customer Support
· Prescription Upload for Medicine Purchase
· Profile Management
· Admin Dashboard for Managing Users and Orders
· Medicine and Product Management (Add, Edit, Delete Products)
· Prescription Verification System
· Order Processing and Status Management
· Customer Support System
· Sales and Revenue Analytics
· AI-based Fraud Detection System
· Role-Based Access Control
· Secure Authentication & Authorization (Password Hashing, Two-Factor Authentication)
· SQL Injection Prevention
· Cross-Site Scripting (XSS) Protection
· Cross-Site Request Forgery (CSRF) Protection
· Secure Data Encryption for Transactions
· Role-Based Access Control for Admin and Users
· AI-driven Product Recommendations (Suggesting medicines based on symptoms and purchase history)
· AI-powered Fraud Detection System
· Chatbot for Customer Support and Health Queries
· Frontend: HTML, CSS, Bootstrap, JavaScript
· Backend: PHP
· Database: MySQL
· Security Measures: SSL, Password Hashing, CSRF Protection, XSS Prevention
· AI Integration: Chatbots for Customer Support, AI-based Recommendation
Name: Sohail Aamir
Email ID: sohailaamer@vu.edu.pk
Skype ID: sohailaamir22
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