SecureShe

SecureShe is an e-commerce website aimed at empowering women by providing a safe and secure platform for purchasing lifestyle and fashion products. The website emphasizes security, privacy, and a strong community vibe by offering features such as chatbot support and product recommendations, tailored specifically for women.

Table of Contents

• Project Overview
• Features
• Technology Stack
• Installation
• Usage
• API Endpoints
• Contributors

Project Overview

SecureShe is designed to provide a secure online shopping experience for women. From secure transactions to personalized product recommendations, our platform ensures privacy and an engaging experience. We aim to build a strong community where women can feel safe while shopping.

Features

• Secure Transactions: All user transactions are safe and secure with no data leaks.
• Chatbot Support: We provide a chatbot for real-time user interaction, answering queries and enhancing user experience.
• Product Recommendations: Personalized product suggestions based on users’ search history.
• Backend Management: FastAPI is used for backend, ensuring efficient handling of data and processes.
• Responsive Frontend: Built with modern design principles for seamless user experience across devices.

Technology Stack

• Frontend: React, CSS, JSX
• Backend: FastAPI, Python
• Database: SQLite (or other supported databases via FastAPI)
• Machine Learning: Python for recommendation engine
• Chatbot: Python-based chatbot for real-time interaction
• Other Tools:
  • Email Support: Custom email utility for user communications (email_utils.py)

Installation

Prerequisites

• Node.js
• Python 3.x
• FastAPI

Steps

1. Clone the repository:

   git clone https://github.com/Megha-Chakraborty/SecureShe.git
   cd SecureShe

2. Install dependencies for the backend:

   pip install -r requirements.txt

3. Install frontend dependencies:

   npm install

4. Start the backend server:

   uvicorn main_backend_fastapi:app --reload

5. Start the frontend:

   npm run start

Usage

1. Front-end Development:

   • HTML, CSS, JavaScript
   • React

2. Back-end Development:

   • FastAPI

3. AI and Chatbot:

   • Langchain
   • Web scraping (Beautiful Soup, Selenium)

4. Data Handling:

   • Pandas (for data manipulation and management)

API Endpoints

The backend exposes the following endpoints:

• GET /api/recommendations: Get product recommendations.
• POST /api/chatbot: Chatbot interaction endpoint.
• POST /api/transactions: Endpoint for handling secure transactions.

Contributors

• Megha Chakraborty - AI and Data Handling
• Priyani Kumari - Front-end Development
• Twinkle Sharma - Back-end and Database Management
• Himanshu Kumar Dutt - Mentor and Guide