Verdi

Our platform uses AI and blockchain to empower financial institutions in risk management, ESG compliance, and sustainable lending by streamlining loans, automating compliance, and transparency.

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Inspiration

The growing environmental challenges in Singapore inspired us to create this project. With Singapore's ambitious sustainability goals for 2030, we aimed to contribute by leveraging blockchain technology to support these objectives. Our solution seeks to address key environmental issues while promoting transparency and accountability in green initiatives.

What It Does

Our platform uses blockchain technology to enhance transparency in green financing, streamline loan approvals, and ensure compliance with ESG standards. By integrating AI models and smart contracts, it simplifies decision-making for financial institutions while promoting sustainable lending practices.

How We Built It

Frontend: Built using React and TypeScript to create an intuitive and responsive user interface.
Backend: Developed with Node.js and Express.js to handle server-side logic and API requests.
Libraries: Utilized Scikit-learn for machine learning, BeautifulSoup for web scraping, and ChatGPT for generating insights.
Blockchain: Implemented Ethereum blockchain using Solidity for smart contracts and Ganache for local blockchain development.

Challenges We Ran Into

Understanding how blockchain functions as a database within a full-stack project was challenging. Collaborating on GitHub introduced hurdles like managing commits and resolving merge conflicts. Additionally, balancing everyone's perspectives and schedules required effective communication and collaboration.

Accomplishments That We're Proud Of

We successfully integrated Ganache, a blockchain simulation environment, into our program, enabling seamless blockchain functionality. Another accomplishment was building an effective team dynamic, allowing us to overcome technical challenges and deliver a working prototype.

What We Learned

This was our first experience working together as a team, and none of us had prior exposure to using GitHub for collaborative database development. We learned to navigate version control, resolve conflicts, and manage simultaneous contributions. Additionally, we gained a deeper understanding of blockchain principles and how they integrate into full-stack applications.

What's Next for Verdi

  • ML Model Development: Building machine learning models to evaluate and score ESG performance more effectively.
  • Scalability: Enhancing the system infrastructure to support scalability for larger datasets and user bases.
  • Real-World Deployment: Adding functionality to deploy the application into the Ethereum main network for real-world use.
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