Shoe Rebranding

Far far away, behind the word mountains, far from the countries.

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Ecommerce

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Project Date May, 2024
Role Identity, Web Design, Full Stack Development
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Developed a fully functional eCommerce website using Python and Django, featuring a wide range of functionalities including user authentication, product search, shopping cart, payment integration, and advanced recommendation systems. The project also includes a chatbot for customer support and a weather-based product recommendation system.

Technologies Used:

  • Backend: Python, Django
  • Frontend: HTML, CSS, JavaScript
  • Database: PostgreSQL/SQLite
  • Payment Gateway: Razorpay
  • APIs/Tools: Weather API, Sentiment Analysis (using NLP), Django Rest Framework

Key Features:

  • User Authentication: Secure user registration, login, and profile management using Django's built-in authentication system.
  • Add to Cart: Implemented a robust cart system where users can add products, update quantities, and proceed to checkout.
  • Search Functionality: Developed a powerful search engine that allows users to easily find products using keywords and filters.
  • Payment Gateway Integration: Seamlessly integrated Razorpay for secure and efficient online payments.
  • Sentiment Analysis-Based Review System: Built a recommendation system using sentiment analysis of user reviews to suggest products based on customer sentiment.
  • Weather-Based Recommendation System: Integrated a weather API to recommend products to users based on current weather conditions.
  • Chatbot: Created a chatbot to assist users with queries and improve the overall user experience.

Challenges and Solutions

  • Payment Gateway Integration: Ensured secure transactions by integrating Razorpay and managing different payment statuses, including handling errors and refunds.
  • Recommendation Systems: The implementation of sentiment analysis and weather-based recommendations required careful handling of data and the development of custom algorithms. Successfully leveraged NLP techniques for sentiment analysis and real-time weather data to enhance user experience.