🛒 Smart Shopping AI – My Journey
I was inspired by the everyday difficulty of shopping when prices vary across stores and products. It often becomes confusing to decide what to buy within a budget. This led me to build a Smart Shopping AI that helps users compare prices and optimize spending.
While developing this project, I learned how to integrate AI models, handle real-time data, and design user-friendly decision systems. I used Python, APIs, and basic optimization logic to recommend cost-effective choices.
One key idea was minimizing total cost: $$ \text{Total Cost} = \sum_{i=1}^{n} p_i \cdot q_i $$
The biggest challenge was handling inconsistent price data and ensuring accurate recommendations. This project improved my problem-solving and practical AI skills.
Log in or sign up for Devpost to join the conversation.