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@HiK-Hi-Korea

HiK

HiK: Hi Korea

Group Project - Team GoT(Gang of Three)

Name Student ID Email Part
Minki Kang 20201980 bbx8216@gmail.com Backend
Gyeongbin Bak 20206024 tarabin49@gmail.com Frontend
Doyeon Lim 20206802 yeons010420@gmail.com AI

Contents

Introduction

Project Topic

Language translation/learning application for foreigners staying in Korea by situation

Key-words: Foreigners staying, contextual language translation, language learning
Field of the topic: Translation and learning applications

Proposal Background

  • According to the Statistics Korea, 61.3 percent of the most difficult issues in studying in Korea are language problems.
  • Among them, the most difficult language functions to feel are first-priority speaking (46.8%) and second-priority writing (34.2%), making it difficult to acquire language functions related to creation.
  • The use of Korean culture's politeness method adds to the difficulty in conversation in everyday life.
  • Education is needed to acquire politeness expressions that can appear in various situations in various dialogue situations.
  • When an awkward sentence is used, such as an incorrect or inappropriate formality, the speaker's confidence in the conversation may decrease depending on the reaction of the interlocutor.
  • Even in the photos below, such as "Carrot Foreign Transactions," it can be seen that foreigners staying in Korea have difficulty using proper language in daily conversations in Korean.
  • image
  • It is intended to provide language translation appropriate to the situation and to help foreigners who have difficulty using Korean live a confident language life and a high-satisfaction Korean life by proposing an application that allows them to learn language and characteristics in various situations.

Main Features

  • When users enter or speak English sentences they want to translate aloud, and select the translation situation they want, they provide Korean sentences with language appropriate to the situation
  • Pronunciation listening function that allows you to check the pronunciation of translated Korean sentences
  • Location recognition function that determines where the conversation is based on the user's location (minimizes user manipulation in translation)
  • Provide multi-layered learning services by providing examples of situations other than those selected by the user for sentence translation
  • The ability to tell you what factors changed the translated sentence as a situation was applied
  • User Login

Project Goal & Contribution

  • Helping foreigners to communicate and live in Korean naturally.
  • The language learning function can help users improve their essential Korean skills.
  • A business model that contributes to the promotion of communication and understanding in a multicultural society and aligns with sustainable development goals and ESG (environmental, social, and governance) values.
  • Through realization conversation data, a Korean language language data set has been established, and a foundation for establishing a dedicated Korean language translation model may be laid.
  • After user consent, conversation history data can be collected and analyzed to determine in which conversation situations foreigners experience discomfort and to use the data on a commercial or national level to quickly solve the inconvenience of using the facility.
  • For example, from a national perspective, services such as checking frequently asked questions and producing response manuals can be provided through conversation data generated when using cultural properties or public facilities.
  • On the commercial side, while existing applications provide formal, simple, and unsuitable content for real-life use, realistic learning content can be created and provided based on the advantage of being able to know sentences that are most difficult for foreigners staying in the country.

Representative Screenshots

Implementation Details

Service Architecture

image

Technology Used

  • Spring boot
  • Amazon EC2, RDS, S3
  • MySQL
  • Chat GPT api
  • Prompt Engineering
  • Google Map, TTS api
  • react-native-voice STT

Code

In Korean

1. ํ”„๋กœ์ ํŠธ ์ฃผ์ œ

์ฒด๋ฅ˜ ์™ธ๊ตญ์ธ ๋Œ€์ƒ ํ•œ๊ตญ์–ด ์ƒํ™ฉ๋ณ„ ์–ด์ฒด ๋ฒˆ์—ญ/ํ•™์Šต ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜

Key-words: ์ฒด๋ฅ˜ ์™ธ๊ตญ์ธ, ์ƒํ™ฉ๋ณ„ ์–ด์ฒด ๋ฒˆ์—ญ, ์–ด์ฒด ํ•™์Šต
Field of the topic: ๋ฒˆ์—ญ ๋ฐ ํ•™์Šต ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜

2. ์ œ์•ˆ๋ฐฐ๊ฒฝ

  • ํ†ต๊ณ„์ฒญ์— ๋”ฐ๋ฅด๋ฉด ํ•œ๊ตญ ์œ ํ•™ ์ƒํ™œ ์ค‘ ์–ด๋ ค์šด ์‚ฌํ•ญ 1์ˆœ์œ„๊ฐ€ 61.3%๋กœ ์–ธ์–ด๋ฌธ์ œ์ž„.
  • ์ด ์ค‘์—์„œ๋„ ๊ฐ€์žฅ ์–ด๋ ต๊ฒŒ ๋А๋ผ๋Š” ์–ธ์–ด๊ธฐ๋Šฅ์€ 1์ˆœ์œ„ ๋งํ•˜๊ธฐ(46.8%), 2์ˆœ์œ„ ์“ฐ๊ธฐ(34.2%)๋กœ ์ƒ์„ฑ๊ณผ ๊ด€๋ จ๋œ ์–ธ์–ด๊ธฐ๋Šฅ์„ ์Šต๋“ํ•˜๊ธฐ ์–ด๋ ค์›Œํ•จ.
  • ํ•œ๊ตญ๋ฌธํ™”์ญ ๋†’์ž„๋ฒ• ์‚ฌ์šฉ์€ ์ผ์ƒ์ƒํ™œ์—์„œ ๋Œ€ํ™”ํ•˜๋Š”๋ฐ ์žˆ์–ด์„œ ์–ด๋ ค์›€์„ ๊ฐ€์ค‘์‹œํ‚ด.
  • ์—ฌ๋Ÿฌ๊ฐ€์ง€ ์ƒํ™ฉ์—์„œ ๋‚˜ํƒ€๋‚  ์ˆ˜ ์žˆ๋Š” ๋†’์ž„ํ‘œํ˜„์„ ๋‹ค์–‘ํ•œ ๋Œ€ํ™”์ƒํ™ฉ์—์„œ ์Šต๋“ํ•˜๋Š” ๊ต์œก์ด ํ•„์š”ํ•จ.
  • ๋†’์ž„ํ‘œํ˜„์ด ์˜ฌ๋ฐ”๋ฅด์ง€ ์•Š๊ฑฐ๋‚˜ ์ ์ ˆํ•˜์ง€ ์•Š์€ ๊ฒฉ์‹์ฒด ๋“ฑ ์–ด์ƒ‰ํ•œ ๋ฌธ์žฅ์„ ๊ตฌ์‚ฌํ–ˆ์„ ๋•Œ ๋Œ€ํ™”์ƒ๋Œ€์˜ ๋ฐ˜์‘์— ๋”ฐ๋ผ ๋ฐœํ™”์ž์˜ ๋Œ€ํ™”์ž์‹ ๊ฐ์ด ํ•˜๋ฝํ•  ์ˆ˜ ์žˆ์Œ.
  • "๋‹น๊ทผ ์™ธ๊ตญ์ธ ๊ฑฐ๋ž˜" ์™€ ๊ฐ™์€ ์•„๋ž˜ ์‚ฌ์ง„์—์„œ๋„ ์ฒด๋ฅ˜ ์™ธ๊ตญ์ธ์ด ํ•œ๊ตญ์–ด ์ผ์ƒ๋Œ€ํ™”์—์„œ ์ ์ ˆํ•œ ์–ด์ฒด ์‚ฌ์šฉ์— ์–ด๋ ค์›€์„ ๊ฒช๋Š”๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Œ.
  • image
  • ์ƒํ™ฉ์— ์ ์ ˆํ•œ ์–ด์ฒด ๋ฒˆ์—ญ์„ ์ œ๊ณตํ•˜๊ณ  ๋‹ค์–‘ํ•œ ์ƒํ™ฉ์—์„œ์˜ ์–ด์ฒด์™€ ํŠน์ง•๋“ค์„ ํ•™์Šตํ•  ์ˆ˜ ์žˆ๋Š” ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์ œ์•ˆํ•˜์—ฌ ํ•œ๊ตญ์–ด ์‚ฌ์šฉ์— ์–ด๋ ค์›€์„ ๊ฒช๋Š” ์ฒด๋ฅ˜์™ธ๊ตญ์ธ๋“ค์ด ์ž์‹ ๊ฐ ์žˆ๋Š” ์–ธ์–ด์ƒํ™œ๊ณผ ๋งŒ์กฑ๋„ ๋†’์€ ํ•œ๊ตญ ์ƒํ™œ์„ ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋ณด์กฐํ•˜๊ณ ์ž ํ•จ.

3. ํ”„๋กœ์ ํŠธ ์†Œ๊ฐœ

์ฃผ์š” ๊ธฐ๋Šฅ

  • ์‚ฌ์šฉ์ž๊ฐ€ ๋ฒˆ์—ญ์„ ์›ํ•˜๋Š” ์˜์–ด๋ฌธ์žฅ์„ ์ž…๋ ฅํ•˜๊ฑฐ๋‚˜ ์†Œ๋ฆฌ๋‚ด์–ด ๋งํ•˜๊ณ , ์›ํ•˜๋Š” ๋ฒˆ์—ญ ์ƒํ™ฉ์„ ์„ ํƒํ•˜๋ฉด ์ƒํ™ฉ์— ์•Œ๋งž์€ ์–ด์ฒด๋ฅผ ์ ์šฉํ•œ ํ•œ๊ตญ์–ด ๋ฌธ์žฅ ์ œ๊ณต
  • ์–ด์ฒด ๋ฒˆ์—ญ๋œ ํ•œ๊ตญ์–ด ๋ฌธ์žฅ์˜ ๋ฐœ์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐœ์Œ ๋“ฃ๊ธฐ ๊ธฐ๋Šฅ
  • ์‚ฌ์šฉ์ž์˜ ์œ„์น˜๋ฅผ ํ†ตํ•ด ๋Œ€ํ™” ์žฅ์†Œ๊ฐ€ ์–ด๋””์ธ์ง€ ํŒ๋‹จํ•˜๋Š” ์žฅ์†Œ ์ธ์‹ ๊ธฐ๋Šฅ(๋ฒˆ์—ญ ์‹œ ์‚ฌ์šฉ์ž ์กฐ์ž‘ ์ตœ์†Œํ™”)
  • ์‚ฌ์šฉ์ž๊ฐ€ ๋ฌธ์žฅ ๋ฒˆ์—ญ์— ์„ ํƒํ–ˆ๋˜ ์ƒํ™ฉ ์ด์™ธ์˜ ๋‹ค๋ฅธ ์ƒํ™ฉ์— ๋Œ€ํ•œ ์˜ˆ์‹œ ์ œ๊ณต์„ ํ†ตํ•ด ๋‹ค์ธต์  ํ•™์Šต ์„œ๋น„์Šค ์ œ๊ณต
  • ์ƒํ™ฉ์ด ์ ์šฉ๋˜์–ด ๋ฒˆ์—ญ๋œ ๋ฌธ์žฅ์ด ์–ด๋–ค ์š”์†Œ์— ์˜ํ•ด ๋ฐ”๋€Œ์—ˆ๋Š”์ง€ ์•Œ๋ ค์ฃผ๋Š” ๊ธฐ๋Šฅ
  • ์‚ฌ์šฉ์ž ๋กœ๊ทธ์ธ/ํšŒ์›๊ฐ€์ž…

4. ๋ชฉํ‘œ(๊ธฐ์—ฌ)

  • ์ฒด๋ฅ˜ ์™ธ๊ตญ์ธ์˜ ํ•œ๊ตญ์–ด ์†Œํ†ต๊ณผ ์–ธ์–ด์ƒํ™œ์ด ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ์ด๋ฃจ์–ด์ง€๋„๋ก ๋ณด์กฐํ•จ.
  • ์–ด์ฒด ํ•™์Šต ๊ธฐ๋Šฅ์„ ํ†ตํ•ด ์‚ฌ์šฉ์ž์˜ ๋ณธ์งˆ์ ์ธ ํ•œ๊ตญ์–ด ์‹ค๋ ฅ ํ–ฅ์ƒ์— ๋„์›€์„ ์ค„ ์ˆ˜ ์žˆ์Œ.
  • ๋‹ค๋ฌธํ™” ์‚ฌํšŒ์—์„œ์˜ ์†Œํ†ต๊ณผ ์ดํ•ด ์ฆ์ง„์— ๊ธฐ์—ฌํ•˜๊ณ  ์ง€์† ๊ฐ€๋Šฅํ•œ ๋ฐœ์ „ ๋ชฉํ‘œ์™€ ESG(ํ™˜๊ฒฝ, ์‚ฌํšŒ, ์ง€๋ฐฐ๊ตฌ์กฐ)๊ฐ€์น˜์— ๋ถ€ํ•ฉํ•˜๋Š” ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ.
  • ์‹ค์ƒํ™” ๋Œ€ํ™” ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ํ•œ๊ตญ์–ด ์–ด์ฒด ๋ฐ์ดํ„ฐ์…‹์„ ๊ตฌ์ถ•ํ•˜์˜€๊ณ , ์ „์šฉ ํ•œ๊ตญ์–ด ์–ด์ฒด ๋ฒˆ์—ญ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•  ์ˆ˜ ์žˆ๋Š” ํ† ๋Œ€๋ฅผ ๋งˆ๋ จํ•  ์ˆ˜ ์žˆ์Œ.
  • ์‚ฌ์šฉ์ž ๋™์˜ ํ›„ ๋Œ€ํ™” ๊ธฐ๋ก ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘, ๋ถ„์„ํ•˜์—ฌ ์ฒด๋ฅ˜ ์™ธ๊ตญ์ธ์ด ์–ด๋–ค ๋Œ€ํ™” ์ƒํ™ฉ์—์„œ ๋ถˆํŽธํ•จ์„ ๊ฒช๋Š”์ง€ ํ™•์ธํ•˜๊ณ  ํ•ด๋‹น ๋ฐ์ดํ„ฐ๋ฅผ ์ƒ์—…์  ํ˜น์€ ๊ตญ๊ฐ€์  ์ธก๋ฉด์—์„œ ์‚ฌ์šฉํ•˜์—ฌ ์‹œ์„ค์ด์šฉ์˜ ๋ถˆํŽธํ•จ์„ ๋น ๋ฅด๊ฒŒ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ์†”๋ฃจ์…˜์„ ๋„์ถœํ•  ์ˆ˜ ์žˆ์Œ.
  • ์˜ˆ๋ฅผ ๋“ค์–ด, ๊ตญ๊ฐ€์  ์ธก๋ฉด์—์„œ ๋ฌธํ™”์žฌ๋‚˜ ๊ณต๊ณต์‹œ์„ค์„ ์ด์šฉํ•  ๋•Œ ๋ฐœ์ƒํ•œ ๋Œ€ํ™” ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์ž์ฃผ ํ•˜๋Š” ์งˆ๋ฌธ ๋“ฑ์„ ์ฒดํฌํ•˜๊ณ , ๋Œ€์‘ ๋งค๋‰ด์–ผ์„ ์ œ์ž‘ํ•˜๋Š” ๋“ฑ์˜ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Œ.
  • ์ƒ์—…์  ์ธก๋ฉด์—์„œ๋Š” ๊ธฐ์กด ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜๋“ค์ด ํ˜•์‹์ ์ด๊ณ  ๋‹จ์ˆœํ•œ, ์‹ค์ƒํ™œ์— ์ด์šฉํ•˜๊ธฐ์— ์ ํ•ฉํ•˜์ง€ ์•Š์€ ์ฝ˜ํ…์ธ ๋ฅผ ์ œ๊ณตํ•˜๋Š” ๋ฐ˜๋ฉด์— ํ•ด๋‹น ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์ฒด๋ฅ˜ ์™ธ๊ตญ์ธ๋“ค์ด ๋Œ€๋ถ€๋ถ„ ์–ด๋ ค์›Œํ•˜๋Š” ๋ฌธ์žฅ๋“ค์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค๋Š” ์žฅ์ ์„ ํ† ๋Œ€๋กœ ํ˜„์‹ค์ ์ธ ํ•™์Šต ์ฝ˜ํ…์ธ ๋ฅผ ๋งŒ๋“ค์–ด ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Œ.

5. ์ฐจ๋ณ„์„ฑ

  • ์‚ฌ์šฉ์ž๊ฐ€ ์›ํ•˜๋Š” ์ƒํ™ฉ์— ์ ์ ˆํ•œ ์–ด์ฒด ๋ฒˆ์—ญ์„ ์„œ๋น„์Šค๋กœ ์ œ๊ณต.
  • ์‹ค์ œ ๋Œ€ํ™”๋ฅผ ์ €์žฅํ•˜๊ณ  ์ง์ ‘์ ์ธ ํ•™์Šต ์ปจํ…์ธ ๋กœ ์ œ๊ณต.
image

6. ๊ฐœ๋ฐœ ๋ฐ ๊ตฌํ˜„

์ฃผ์š” ๊ธฐ์ˆ 

  • Spring boot
  • Amazon EC2, RDS, S3
  • MySQL
  • Chat GPT api
  • Prompt Engineering
  • Google Map, TTS api
  • react-native-voice STT

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