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AI4SG-Hackathon

The "AI for Social Good Hackathon" encourages students to create impactful software solutions using AI to address societal challenges and improve quality of life.


TEAM NAME

STHANDARD MUTH

PROBLEM STATEMENT

Displaced, adopted, or moved individuals often struggle to trace their ancestry. Traditional methods are time-consuming and not always reliable. Our goal is to provide a more accessible and AI-powered tool for ancestry search.

PROPOSED SOLUTION

We built an Ancestry Searcher that uses DuckDuckGo’s API to retrieve the top 5 relevant results, which are processed by Meta’s LLaMA for refined ancestry insights. An interactive chatbot powered by Amazon Q guides users through the search and helps interpret results.


Sthandard Muth: Ancestry Searcher for Displaced and Adopted Individuals

Overview

The Ancestry Searcher tool helps displaced and adopted individuals trace their lineage by utilizing DuckDuckGo's top 5 search results, processed with Meta's LLaMA model. The backend is built using Flask, and Amazon Q powers the interactive chatbot, with Figma used for frontend design.

Team Members:

  • Raunak Khanna
  • Mahatav Arora
  • Aaditya Golash

Tech Stack

  • Backend: Flask, Meta LLaMA, Amazon Q, Python
  • Frontend: HTML, CSS, JavaScript, Figma
  • Unit Testing: ChatGPT
  • Version Control: Git, GitHub

Features

  • Input for known ancestry details.
  • Fetches the top 5 results from DuckDuckGo.
  • Refines results using Meta's LLaMA for relevant ancestry data.
  • Amazon Q chatbot guides users through the process.

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