Inspiration
Among the two provided problem statements, this one resonated with us more deeply, as it reflected a struggle we and many of our peers face firsthand — impulse spending and a lack of savings discipline. Our close understanding of the issue motivated us to create a scalable, user-centric solution that could be mutually beneficial to both students and early-working professionals.
⸻
What It Does
Spend Vault acts as an AI-powered financial assistant designed to improve financial behavior among young adults. Upon landing on the site, users are greeted with a concise overview of the platform’s intent — to guide and nudge users toward more mindful spending and consistent saving habits.
The platform includes six core features: 1. Real-Time Expense Tracker – Helps users stay on top of their spending habits with instant feedback. 2. Smart Nudges – AI-generated suggestions to reduce impulsive purchases. 3. Expense Goals – Users can set monthly saving targets to stay committed. 4. Gamified Rewards System – Positive financial behavior earns coins, boosting engagement. 5. Privacy-First Tracking – Ensures user data is safe and confidential. 6. Category-Based Breakdown – Offers insights on where money is going (food, travel, etc.).
These features collectively encourage young users to understand, reflect on, and improve their money habits in a fun and secure way.
⸻
How We Built It
We began by analyzing existing solutions and identifying their limitations. Our goal was to combine proven strategies with fresh ideas to increase both the pull factor and user retention. • UI Design: Built using Figma, ensuring clean layout, clear flow, and youth-friendly tone. • Frontend: Developed using HTML, CSS, JavaScript, and Python to bring the design to life. • Backend: Powered by JavaScript and Python for handling data flow and logic. • AI Model: Trained using FastAPI with a dataset of over 500 entries (synthetically generated with relevant attributes). • Hosting: All components are integrated and locally hosted via GitHub, simulating a full-stack deployment.
⸻
Challenges We Ran Into • API Integration: One of our major blockers was integrating the trained model API with our frontend. • Data Availability: In the absence of real user data, we had to simulate datasets that were realistic enough to reflect expenditure behavior. • Design-to-Development Transition: Adapting the aesthetic Figma design into responsive and functioning code presented compatibility challenges.
⸻
Accomplishments We’re Proud Of • UI Design: We crafted a visually engaging and intuitive user interface with fun language elements that appeal to younger audiences while maintaining clarity and professionalism. • Frontend Execution: Smooth user interaction, dynamic elements, and aesthetic transitions using modern web styling and gradients. • Backend Development: Successfully trained and deployed an AI model that returns insights and powers our monthly expense visualization chart.
⸻
What We Learned • How personalized financial tools can meaningfully impact everyday lives when built with empathy and data. • The importance of striking a balance between functionality and visual appeal in design. • Under high-pressure and time-constrained situations, we discovered that learning new tools and technologies quickly is not only possible — it’s necessary.
⸻
What’s Next for Spend Vault
Some ideas remained outside the scope of our MVP, but we see immense potential for future expansion: • Investment in Gold: Introduce a secure, beginner-friendly gold investment module linked to user savings. • Emergency Fund Education: A dedicated page to highlight the importance of setting aside an emergency fund. • Monthly Behavior Report: AI-generated summaries showing improvements (or regressions) in spending habits to encourage users — e.g., “Hey! You’ve reduced your impulsive spending by 30% this month!” • Gamified Incentives: Users earn SpendCoins for hitting savings goals or acting on nudges. These coins can be redeemed for: • Gold investments • Cash-back equivalents (up to 50%) • Exclusive offers in partner ecosystems
Built With
- css
- fastapi
- figma
- html
- javascript
- python
Log in or sign up for Devpost to join the conversation.