AI4GoodLab - Edmonton Cohort 2023 - Team 1
Author: Aesha Patel, Sana Shams, Tanya, Urim Iyasere and Anh Vo.
We are thrilled to announce that our project, PlatePal, has clinched the prestigious Accelerator Award within the Edmonton Cohort 2023.
PlatePal is a pioneering initiative designed to assist low-income individuals, including students and workers, in acquiring groceries more efficiently, addressing the pressing issue of rising food insecurity. The primary functions of this version include:
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Webscraping for Real-time Deals: Leveraging Flipp.com, we dynamically update the platform with the latest deals and grocery prices, ensuring users have access to the most cost-effective options.
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Store Localization: PlatePal identifies nearby stores based on the user's location, streamlining the grocery shopping process.
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Budget-Based Grocery Recommendations: Users input their budget, and the system generates curated lists of grocery items in four essential categories: Carbs, Dairy, Fresh Produce, and Protein.
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Optimization with Q-learning: PlatePal employs a Q-learning agent to find the optimal combination of items, maximizing the number of products in each category while staying within the user's budget.
We extend our gratitude to Flipp.com for providing essential data and support for this project.
Feel free to explore, contribute, and enhance PlatePal to make grocery shopping a more accessible and enjoyable experience for everyone.