Inspiration
Choosing a gift is a very stressful job for a lot of people like us. We spend way too much time on the thought but still with no result have to gift a coffee mug. But if we had something like Youtube which would recommend us the gift by a little bit data about the person of the things the person loves and would be largely appreciated by them.
What it does
We take in a few data points regarding what the person receives like such as their hobbies or what they are a fan of such as sports teams or movies and show franchises. Along with something that is essential to them and has become old such as gadgets. And then we would recommend them.
How we built it
Python (Flask) HTML5 CSS3 Bootsrap5 MongoDB
Challenges we ran into
We had to choose the correct way to recommend something that the receiver would like for this reason we had to choose a Machine learning algorithm that moment we then we chose the Apriori and then needed the predefined dataset for better performance.
Accomplishments that we're proud of
We are proud that the project can solve the human problems faced by a lot of people to be creative in gifting thus displaying their affection towards their loved ones. By using better algorithms rather than just matching the tags.
What we learned
We learned about different Machine Learning Algorithms for the recommendation Systems coming under Market Basket Analysis.
What's next for Smart Gift
Budget management would be added for multiple people to receive the gift Creating a whole e-commerce platform for the gift shops to scale up their business.
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