Group Project - Team GoT(Gang of Three)
Name | Student ID | Part | |
---|---|---|---|
Minki Kang | 20201980 | bbx8216@gmail.com | Backend |
Gyeongbin Bak | 20206024 | tarabin49@gmail.com | Frontend |
Doyeon Lim | 20206802 | yeons010420@gmail.com | AI |
- HiK: Hi Korea
- In Korean
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
- 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.
- 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.
- 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
- 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.
- Spring boot
- Amazon EC2, RDS, S3
- MySQL
- Chat GPT api
- Prompt Engineering
- Google Map, TTS api
- react-native-voice STT
체λ₯ μΈκ΅μΈ λμ νκ΅μ΄ μν©λ³ μ΄μ²΄ λ²μ/νμ΅ μ΄ν리μΌμ΄μ
Key-words: 체λ₯ μΈκ΅μΈ, μν©λ³ μ΄μ²΄ λ²μ, μ΄μ²΄ νμ΅
Field of the topic: λ²μ λ° νμ΅ μ΄ν리μΌμ΄μ
- ν΅κ³μ²μ λ°λ₯΄λ©΄ νκ΅ μ ν μν μ€ μ΄λ €μ΄ μ¬ν 1μμκ° 61.3%λ‘ μΈμ΄λ¬Έμ μ.
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- νκ΅λ¬Ένμ λμλ² μ¬μ©μ μΌμμνμμ λννλλ° μμ΄μ μ΄λ €μμ κ°μ€μν΄.
- μ¬λ¬κ°μ§ μν©μμ λνλ μ μλ λμννμ λ€μν λνμν©μμ μ΅λνλ κ΅μ‘μ΄ νμν¨.
- λμννμ΄ μ¬λ°λ₯΄μ§ μκ±°λ μ μ νμ§ μμ 격μ체 λ± μ΄μν λ¬Έμ₯μ ꡬμ¬νμ λ λνμλμ λ°μμ λ°λΌ λ°νμμ λνμμ κ°μ΄ νλ½ν μ μμ.
- "λΉκ·Ό μΈκ΅μΈ κ±°λ" μ κ°μ μλ μ¬μ§μμλ 체λ₯ μΈκ΅μΈμ΄ νκ΅μ΄ μΌμλνμμ μ μ ν μ΄μ²΄ μ¬μ©μ μ΄λ €μμ κ²ͺλλ€λ κ²μ νμΈν μ μμ.
- μν©μ μ μ ν μ΄μ²΄ λ²μμ μ 곡νκ³ λ€μν μν©μμμ μ΄μ²΄μ νΉμ§λ€μ νμ΅ν μ μλ μ΄ν리μΌμ΄μ μ μ μνμ¬ νκ΅μ΄ μ¬μ©μ μ΄λ €μμ κ²ͺλ 체λ₯μΈκ΅μΈλ€μ΄ μμ κ° μλ μΈμ΄μνκ³Ό λ§μ‘±λ λμ νκ΅ μνμ ν μ μλλ‘ λ³΄μ‘°νκ³ μ ν¨.
μ£Όμ κΈ°λ₯
- μ¬μ©μκ° λ²μμ μνλ μμ΄λ¬Έμ₯μ μ λ ₯νκ±°λ μ리λ΄μ΄ λ§νκ³ , μνλ λ²μ μν©μ μ ννλ©΄ μν©μ μλ§μ μ΄μ²΄λ₯Ό μ μ©ν νκ΅μ΄ λ¬Έμ₯ μ 곡
- μ΄μ²΄ λ²μλ νκ΅μ΄ λ¬Έμ₯μ λ°μμ νμΈν μ μλ λ°μ λ£κΈ° κΈ°λ₯
- μ¬μ©μμ μμΉλ₯Ό ν΅ν΄ λν μ₯μκ° μ΄λμΈμ§ νλ¨νλ μ₯μ μΈμ κΈ°λ₯(λ²μ μ μ¬μ©μ μ‘°μ μ΅μν)
- μ¬μ©μκ° λ¬Έμ₯ λ²μμ μ ννλ μν© μ΄μΈμ λ€λ₯Έ μν©μ λν μμ μ 곡μ ν΅ν΄ λ€μΈ΅μ νμ΅ μλΉμ€ μ 곡
- μν©μ΄ μ μ©λμ΄ λ²μλ λ¬Έμ₯μ΄ μ΄λ€ μμμ μν΄ λ°λμλμ§ μλ €μ£Όλ κΈ°λ₯
- μ¬μ©μ λ‘κ·ΈμΈ/νμκ°μ
- 체λ₯ μΈκ΅μΈμ νκ΅μ΄ μν΅κ³Ό μΈμ΄μνμ΄ μμ°μ€λ½κ² μ΄λ£¨μ΄μ§λλ‘ λ³΄μ‘°ν¨.
- μ΄μ²΄ νμ΅ κΈ°λ₯μ ν΅ν΄ μ¬μ©μμ λ³Έμ§μ μΈ νκ΅μ΄ μ€λ ₯ ν₯μμ λμμ μ€ μ μμ.
- λ€λ¬Έν μ¬νμμμ μν΅κ³Ό μ΄ν΄ μ¦μ§μ κΈ°μ¬νκ³ μ§μ κ°λ₯ν λ°μ λͺ©νμ ESG(νκ²½, μ¬ν, μ§λ°°κ΅¬μ‘°)κ°μΉμ λΆν©νλ λΉμ¦λμ€ λͺ¨λΈ.
- μ€μν λν λ°μ΄ν°λ₯Ό ν΅ν΄ νκ΅μ΄ μ΄μ²΄ λ°μ΄ν°μ μ ꡬμΆνμκ³ , μ μ© νκ΅μ΄ μ΄μ²΄ λ²μ λͺ¨λΈμ ꡬμΆν μ μλ ν λλ₯Ό λ§λ ¨ν μ μμ.
- μ¬μ©μ λμ ν λν κΈ°λ‘ λ°μ΄ν°λ₯Ό μμ§, λΆμνμ¬ μ²΄λ₯ μΈκ΅μΈμ΄ μ΄λ€ λν μν©μμ λΆνΈν¨μ κ²ͺλμ§ νμΈνκ³ ν΄λΉ λ°μ΄ν°λ₯Ό μμ μ νΉμ κ΅κ°μ μΈ‘λ©΄μμ μ¬μ©νμ¬ μμ€μ΄μ©μ λΆνΈν¨μ λΉ λ₯΄κ² ν΄κ²°ν μ μλ μ루μ μ λμΆν μ μμ.
- μλ₯Ό λ€μ΄, κ΅κ°μ μΈ‘λ©΄μμ λ¬Ένμ¬λ 곡곡μμ€μ μ΄μ©ν λ λ°μν λν λ°μ΄ν°λ₯Ό ν΅ν΄ μμ£Ό νλ μ§λ¬Έ λ±μ 체ν¬νκ³ , λμ 맀λ΄μΌμ μ μνλ λ±μ μλΉμ€λ₯Ό μ 곡ν μ μμ.
- μμ μ μΈ‘λ©΄μμλ κΈ°μ‘΄ μ΄ν리μΌμ΄μ λ€μ΄ νμμ μ΄κ³ λ¨μν, μ€μνμ μ΄μ©νκΈ°μ μ ν©νμ§ μμ μ½ν μΈ λ₯Ό μ 곡νλ λ°λ©΄μ ν΄λΉ λ°μ΄ν°λ₯Ό ν΅ν΄ 체λ₯ μΈκ΅μΈλ€μ΄ λλΆλΆ μ΄λ €μνλ λ¬Έμ₯λ€μ μ μ μλ€λ μ₯μ μ ν λλ‘ νμ€μ μΈ νμ΅ μ½ν μΈ λ₯Ό λ§λ€μ΄ μ 곡ν μ μμ.
- μ¬μ©μκ° μνλ μν©μ μ μ ν μ΄μ²΄ λ²μμ μλΉμ€λ‘ μ 곡.
- μ€μ λνλ₯Ό μ μ₯νκ³ μ§μ μ μΈ νμ΅ μ»¨ν μΈ λ‘ μ 곡.
μ£Όμ κΈ°μ
- Spring boot
- Amazon EC2, RDS, S3
- MySQL
- Chat GPT api
- Prompt Engineering
- Google Map, TTS api
- react-native-voice STT