Overview / Usage

The Flipkart Chatbot is an innovative solution designed to enhance the product search experience for users on the Flipkart e-commerce platform. In the vast landscape of online shopping, finding the right products can often be overwhelming and time-consuming. The chatbot aims to alleviate these challenges by providing users with a convenient and intuitive way to discover products that match their preferences and needs.

Methodology / Approach

The first step in our methodology is to thoroughly understand the problem statement. We analyze the challenges faced by users in searching for products on e-commerce platforms like Flipkart and identify areas where technology can be leveraged to improve the user experience.

Once we have a clear understanding of the problem, we select appropriate technologies to build our solution. In the case of the Flipkart Chatbot, we utilize a combination of web scraping, natural language processing (NLP), and web development frameworks to create an interactive and intelligent system.

Technologies Used

• Python: The backend logic of the application is written in Python.
• Flask: Flask is used as the web framework to create the server and handle HTTP requests.
• Beautiful Soup: Beautiful Soup is utilized for web scraping Flipkart's product data.
• HTML/CSS/JavaScript: Frontend components of the chat interface are built using HTML, CSS, and JavaScript.
• NLTK: NLTK (Natural Language Toolkit) is used for text processing, including stop word removal and greeting detection.

Repository

https://github.com/Pratiksha012/Flipkart-Chatbot