With the growing interest in reducing carbon emissions and protecting the environment, accurate management of carbon emissions and effective reduction strategies are required for both businesses and individuals.
green up reflects the rapidly increasing demand for carbon neutrality and ESG (Environmental, Social, and Governance) management, supporting SMEs (Small and Medium-sized Enterprises) in systematically managing their carbon emissions and establishing effective reduction plans.
Based on the carbon emission data provided by users, green up creates a carbon inventory and proposes reduction measures through a dashboard and AI consulting feature using Solar LLM. green up aims to help SMEs facing complex ESG challenges.
- Current Development Status
- Future Development Directions
- How to Use green up
- Demo Video
- Team Members and Roles
Currently, both the AI Chat Page and the Dashboard Page have been implemented. Essential features for each page have been completed. Future development will involve adding detailed features to the Dashboard Page and refactoring to ensure smooth integration with the AI Chat Page.
In the chat window, users can ask questions related to carbon emission reduction, and receive responses accordingly. The answers are generated using Solar LLM, which has been fine-tuned with Predibase.
- Connect AI Chat Page to Dashboard Page
- DashBoard Data-Based Report Generation (PDF)
- Reflect dashboard data in LLM
- SBTi-based Target Emissions Recommendation and Setting System
- Automatically build inventory linked to open banking API
git clone https://github.com/your-repo/greenup.git
cd greenup
npm install
npm run dev
Once the server is running, you can open the green up web page in your browser by navigating to http://localhost:3000.
ai.chat.mp4
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|---|---|---|---|
| Yuna Pyeon | nanseul Kim | junekyu Baek | Yubin Kim |
| PM Design |
Frontend | Backend | AI |
Yuna Pyeon nanseul Kim junekyu Baek Yubin Kim