Inspiration
Many people take loans without understanding whether they can comfortably repay them. We wanted to build a tool that makes loan decisions simple and transparent.
What it does
Financial Friend analyzes a user's financial profile, predicts whether a loan is safe or risky, and explains the reasoning in simple language.
How we built it
We used Python, machine learning, and data preprocessing techniques to build a loan risk prediction model and a simple user interface.
Challenges we ran into
Finding relevant financial features, balancing accuracy and interpretability, and generating easy-to-understand explanations.
Accomplishments that we're proud of
Built an end-to-end AI-powered loan risk analyzer with explainable predictions and a user-friendly experience.
What we learned
We learned the importance of data preprocessing, feature engineering, and explainable AI in building trustworthy financial applications.
What's next for Predictor
Add personalized recommendations, real-time financial data integration, and a conversational AI assistant for financial guidance.
Built With
- data
- explainable-ai
- fintech
- flask
- genai
- machine-learning
- numpy
- openai
- pandas
- python
- scikit-learn
- streamlit
Log in or sign up for Devpost to join the conversation.