Creating a Semantic Search Algorithm to Understand User Intent and Context, Improving Search Precision and Relevance

Local Chapter Jordan Chapter

Coordinated by Jordan ,

Status: Completed

Project Duration: 05 Sep 2023 - 20 Oct 2023

Open Source resources available from this project

Project background.

In today’s fast-paced digital era, the volume of information available is vast and continuously growing. Traditional keyword-based search engines often struggle to deliver precise and relevant results, leading to frustrated users and reduced efficiency. As our organization expands its digital presence and offerings, it is crucial to provide a seamless and intuitive search experience for our customers, employees, and stakeholders. The Semantic Search Project aims to address these challenges by leveraging AI-driven semantic search technology to elevate our information retrieval system.

Project plan.

  • Week 1

    Search about project

  • Week 2

    Data Collection

  • Week 3

    Data Collection

  • Week 4

    Preprocessing data

  • Week 5

    Preprocessing data

  • Week 6

    Build Semantic Search

  • Week 7

    Build Semantic Search

  • Week 8

    App development

Learning outcomes.

1. Use GPT for collecting data.

2. Learn NLP techniques.

3. Deploy the interface using Streamlit.

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