giftguru.co.in

Objective: To build a website that will recommend gifts based on users' queries.

Giftguru.co.in is a website-based platform to generate gift result recommendations for users based on their prompt and results will also include product links for the products.

The initial development plan:

Building a basic website with an input field
Domain name selection
Testing for the gen ai API for generating the result.
Integrating Amazon PA API for result generation

First Draft of the website:

Testing the API's

Challenges in Testing the APIs

We tried using Google Cloud API, but we were required to pay to access them.
We tried using Openai's API money was the issue here.

To resolve this we searched for publically available API and found co-here API.
Result:

Next steps

Moving ahead we are planning for the generation of a new UI.
Trying to parse the output generated for the link generation.

Mousam- Understanding the working of React js and working on link generation

Shlok- Working on the UI aspects of web applications.

For generating the link steps to be followed

Text Analysis: We need to implement text analysis libraries (like spaCy for NER) to extract relevant keywords.
API Integration: Using a library or code snippet in our chosen programming language to interact with the Amazon PA API.
Data Processing: Code to process the Cohere output, extract keywords, call the Amazon PA API with those keywords, and match the retrieved products with your recommendations.
Link Generation: Generate affiliate links for the matched products using the Amazon PA API.
Website Update: Modify our website's templates or logic to display the enriched product data alongside the Cohere recommendations and the generated affiliate links.

Today's result after making the template using React js