We got this idea by watching my daily routine. We keep regretting when we buy an item and then realize that we can get it cheaper prize in a different store very close. We Also keep forgetting what to buy or add to the list when we go to a grocery store. As students, we want to save money as much as possible. This idea solves it all!!
What it does
The app takes grocery list as input and give you the optimum way of buying items with cheaper prices from different stores nearby. It also suggests items you might forget by your buying patterns using machine learning.
How we built it
Challenges we ran into
Using real-time API for grocery stores for datasets. Connecting Google Cloud SQL to Flask Application
Accomplishments that we're proud of
brainstorming Ideas and implementing the best one in 24 hour time frame. Proud of reaching mini goals to give our project a better shape Came up with a better suited Machine Learning Algorithm for our problem
What we learned
Learnt to use flask (python with GUI) - collaborating python, html Learnt Connecting Google Cloud SQL to Flask Application
What's next for SmartGrocList
Moving Desktop Web Application to Mobile Platform We plan to implement OCR (Optical Character Recognition) – Text detection in images - Scan checklist from sticky notes, white-boards. - Scan bills to mark completed items. Include radius filter to find nearest grocery stores – Saves Time!! Mobile Notifications/Reminders when user is near the stores Upload any image – We will suggest related items - For example, upload your dog’s image, we will suggest items like dog food. Sale updates for individual stores to grab as many items as we want for cheaper prizes