Inspiration Our goal was to create an application that helps users track their spending habits and receive AI-driven insights on managing expenses better. We wanted to make expense management accessible, efficient, and intelligent by integrating with ChatGPT for personalized financial advice.
What it Does The User Expenses Adviser app allows users to:
Log and view their daily expenses. Filter expenses by specific date ranges. Get personalized advice on spending habits based on their logged expenses, using ChatGPT's insights to recommend saving strategies and spending adjustments. How We Built It Backend Framework: We used Django and Django REST Framework to set up an API, ensuring secure and efficient data management for expenses. Database: SQLite was used to store user expenses and deal information. External API Integration: Integrated with OpenAI's ChatGPT API to generate personalized spending advice based on user expenses. Endpoints: Created RESTful APIs for managing users, expenses, and special deals. Added a custom endpoint for fetching user expenses along with AI-generated spending advice. Challenges We Ran Into API Integration: Ensuring smooth communication with the OpenAI API while handling errors and managing API limits was challenging. Data Filtering and Analysis: Processing and filtering expenses data for meaningful insights required designing efficient queries. Security: Managing sensitive user data securely and handling API keys was critical. Accomplishments That We’re Proud Of Successfully implemented a backend that integrates with an AI service for personalized advice. Built a REST API that provides a seamless user experience for managing and querying expenses. Developed an efficient and scalable backend architecture that allows future expansion. What We Learned AI Integration: Gained experience in working with third-party AI services and processing dynamic advice based on user-specific data. Error Handling and Resilience: Learned to implement robust error-handling techniques to manage external API failures. Backend Optimization: Gained skills in optimizing Django queries and data processing for real-time expense tracking. What's Next for Manage Expenses Enhanced AI Insights: Explore more in-depth financial recommendations using additional machine learning models. Multi-User Collaboration: Allow families or teams to manage and track expenses together. Advanced Analytics: Implement trend analysis for monthly or yearly spending and saving reports.
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