MyEconoCoach

Inspiration

Many people want to invest their money, whether in foreign currencies like the U.S. dollar or in the stock market. However, some people who are not familiar with financial or economic information, deciding where to invest can be confusing. In everyday life, global events such as wars, inflation, or changes in oil prices can significantly impact financial markets. These events also influence exchange rates, investment returns, and even personal expenses. Despite this, many people believe that if they are not actively investing in stocks, they do not need to understand finance or economics. That is why I created website. The goal is to make financial and economic information easier to understand and more relevant to daily life. Through exchange rate visualization, investment simulations, and AI-powered news explanations, it helps users see how global economic events influence their personal financial decisions.

Features

1. Authentication

Email signup and login
Google OAuth login
Secure user authentication

2. Financial Profile

Users can configure their personal financial information:

Country selection
Real-time currency exchange rate
Annual income
Monthly investment amount

3. Exchange Rate Dashboard

Users can view exchange rate history (3 months, 6 months, 1 year and 2 year) This allows users to understand currency fluctuations over time.

3-1. Investment Simulation

Users can compare

Bank deposit interest
Currency investment

The simulation uses historical exchange rate data to estimate which option could be more profitable.

4. Smart Economic Calendar

This calendar connects real-world economic events with personal schedules.

Users can:

Create events
Set estimated costs
Categorize events

It analyzes economic news and warns users if global issues may impact their planned events. Example: (Oil price increase, War affecting supply chains or Inflation trends etc) The system may recommend moving events earlier to reduce potential costs.

5. AI News Advisor

Users can paste a news article URL, and the AI will:

Analyze the economic impact
Predict possible market volatility
Identify which user events may be affected

This demonstrates how global economic events influence daily life

5-1. AI News Chatbot

Financial news can sometimes be difficult to understand.

It includes a chatbot that:

Explains news in simple language
Answers questions about economic topics
Helps beginners understand financial issues quickly

What it does

Compares the user's local currency with the U.S. dollar to help people understand that simply saving money in a bank is not always the most efficient financial strategy.
Provides a smart calendar where users can store their schedules. The system analyzes economic news and identifies issues that may affect those events. Based on this analysis, the AI may recommend moving certain schedules earlier in order to reduce potential costs.

How I built it

Django – Django architecture to enable fast development and rapid feature integration during the hackathon.
Gemini API – Integrated the Gemini API to power AI features such as news analysis and natural language explanations.
RAG (Retrieval-Augmented Generation) – A vector database is used to retrieve relevant information so the AI can provide more accurate and context-aware responses.
React + TailwindCSS – Built with React for dynamic UI components and styled using TailwindCSS for rapid and clean interface design.

Challenges I ran into

Running a local language model required significant CPU resources, and without proper fine-tuning it was less efficient compared to using the Gemini API. Because of this, I decided to rely on a cloud-based AI model for better performance and faster responses.
I experimented with separating the authentication service using Go while the main application was built with Django. Integrating JWT authentication between these different services introduced additional complexity during development.

Accomplishments that I'm proud of

Implemented a Retrieval-Augmented Generation (RAG) system with a vector database to provide reliable context to the chatbot. This significantly reduced hallucinations and improved the accuracy of AI responses.
Users can simply copy and paste a news article URL, and the AI analyzes the economic impact. Based on the analysis, the system identifies which scheduled events may be affected and suggests whether the user should move the schedule earlier or postpone it.

What I learned

LLMs can produce hallucinations, so implementing a Retrieval-Augmented Generation (RAG) system with a vector database helped us provide more accurate and context-based responses
While building the calendar and news analysis features, I realized how closely global events such as oil prices, inflation, or conflicts can impact personal financial planning
Using a Django monolith helped us build features quickly during the hackathon, but I also learned that a microservice architecture could improve scalability and resource management in the future
Financial and economic topics are often difficult for beginners, but using AI to summarize and explain news articles can make this information much more accessible

What's next for MyEconoCoach

Plan to separate core components into microservices to improve scalability, reduce CPU load, and handle system failures more effectively.
Aim to fine-tune a custom language model specifically for financial and economic information, allowing the AI to provide more accurate insights and domain-specific analysis.