Endorbit (E-commerce chatbot)

Inspiration

Imagine a chatbot that understands your needs and recommends the perfect product based on your input.

What It Does

Endorbit is an AI-powered e-commerce chatbot that suggests products based on user queries.

How We Built It

We developed Endorbit using LangChain and Python, leveraging the Flipkart product dataset from Kaggle. The backend was built with Django and the Python REST framework, and we deployed it on DigitalOcean.

Challenges We Ran Into

Initially, the bot struggled to return accurate data, but we resolved this by implementing FAISS for improved retrieval.

Accomplishments We're Proud Of

Endorbit can recommend products based on any prompt.

What We Learned

We gained experience in implementing Retrieval-Augmented Generation (RAG).

What's Next for Endorbit (E-commerce Chatbot)

We plan to enhance the chatbot’s accuracy, expand its dataset, and integrate it with more e-commerce platforms for a seamless shopping experience.

Built With

• ai
• commerce
• product
• python
• rag
• tailwind