2023 KPMG IDEATHON

VenTo is a platforrm that serves ventures or venture-like companies with three unique services to overcome their limitations.

Difficulties for venture companies to raise funds / Difficulties in dealing with legal provisions / Difficulties in seeking overseas expansion

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Services

1. R&D Together

"R&D Together" deals with financial limitations venture firms are facing by supporting the appliance of R&D projects financed by the government.

2. Contract Together

"Contract Together" deals with toxic probable clauses in contract papers. This service model contracts the clauses in contract papers and distinguishes toxic probable clauses.

3. Issue Together

"Issue Together" supports for the globalization of K-venture companies through customized domestic and international news and issue provision services and introduction of overseas expansion support projects

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About our team

Github	Project Contributions
SEJEONG KANG	Lead, Contract Together Modeling
JIHYO KIM	R&D Together Modeling & Designs
JUNHO NA	Contract Together Modeling & Web Backend(flask)
YUCHAN PARK	Issue Together Modeling & Web Frontend(React)
JUNWOO AHN	Issue Together Modeling & Web Backend(DB)
DONGHYUN JANG	R&D Together Modeling & Web Frontend(React)

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Models

Service	Model (HuggingFace link)
R&D Together	rroyc20/RnD-base-tokenizer-mDeBERTa-v3-kor-further / jhgan/ko-sbert-sts
Contract Together	jhn9803/Contract-base-tokenizer-mDeBERTa-v3-kor-further / jhn9803/Contract-new-tokenizer-mDeBERTa-v3-kor-further
Issue Together	sentence-transformers/all-MiniLM-L6-v2 / facebook/bart-large-mnli

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How to Run

1. git clone https://github.com/SEJEONGKANG/KPMG-VenTo.git

2. Terminal

   # ~/KPMG-VenTo/frontend
   $ npm install --legacy-peer-deps
   $ npm run dev
   

   for MacOS user

   # ~/KPMG-VenTo/backend
   $ python -m venv venv
   $ source venv/bin/activate
   $ pip install -r requirements.txt
   $ flask run
   

   for Windows user

   # ~/KPMG-VenTo/backend
   $ python -m venv venv
   $ .\venv\Scripts\activate
   $ pip install -r requirements.txt
   $ flask run
   

3. add similar into KPMG-VenTo\backend\torchs

   download link

4. Run on Local Server: http://localhost:3000