number in the highlight it's a recommendation ML model providing food rating
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story of maggi and nestle inspired and motivated for this project
What it does
it asks for your food items u use on daily basis and then keeps the track on the listed food items and keeps u update for any policy change or any news of that products and informs u. it also gives sentimental analysis of product.
How I built it
we divided the work into two parts first web-app and second web crawling and ML . one of us was continuously working whole night to develop good user design front-end as well as back-end . on the other half another guy was struggling hard to create ML model to classify food search and crawling for datasets.
Challenges I ran into
the most difficult and brain storming part was to look for data create food engine and ironical we failed on front-end design miserably .
Accomplishments that I'm proud of
we are proud on the whole work we put together and on our team work skills , which we think are not that bad as we thought . and definitely a boost in our confidence.
What I learned
patience , create thinking , collaboration with other teams , team work and polished coding skills .
What's next for FOOD_engine
1) speed is factor on which we will definitely look upon 2) our searching algorithm 3) UI and UX 4) accuracy 5) personal recommendation message