Foodie Recommender App

Our plan is to eradicate the gap between a food lover and a good food place. The quality and taste of food have been endangered. The Sindh Food Authority has failed to maintain food quality and taste in the industry. We can make our users go to a place where the user would pay for their food without

Project Title

Foodie Recommender App

Project Area of Specialization

Computer Science

Project Summary

Our plan is to eradicate the gap between a food lover and a good food place. The quality and taste of food have been endangered. The Sindh Food Authority has failed to maintain food quality and taste in the industry. We can make our users go to a place where the user would pay for their food without any regrets. One can compromise quality in our culture but not the taste. We are here for no compromises on taste. Moreover, users will find and eat according to the preferences set on the app.

Project Objectives

To collect data of user ratings on the food items of different restaurants in Karachi. To understand people’s reviews on different websites using NLP. To recommend restaurants and foods to users upon their preferences of food. In the future, it will also deliver food according to the current user’s location via the current location option (optional work)

Project Implementation Method

Here are the Implementation %

per Members Data Gathering and Database/Cloud: Muhammad Sami 70%

Maaz Ahmed 20%

Muhammad Junaid Rizvi 10%

Front End UI/UX:

Muhammad Sami 15%

Maaz Ahmed 15%

Muhammad Junaid Rizvi 70%

Back End System:

Muhammad Sami 20%

Maaz Ahmed p

Muhammad Junaid Rizvi 10%

Benefits of the Project

To provide better experience of best street food

To give the best response to foodie, when he wants to eat something good.

To get recognition of the street food with deserves to be recognized by people Make a review system to provide the best experience to our foodie

To make a recommendation system based upon the preferences of the foodie

Technical Details of Final Deliverable

Data Gathering and Database/Cloud: Web Scraping through Data Web Scraper. Selenium (optional) Dataset (.csv) or

Firebase Front End UI/UX: Mobile Application through Flutter.

Back End System: Artificial Intelligence. Recommendation System Through Machine Learning. Natural Language Processing.

Final Deliverable of the Project

Software System

Core Industry

Food

Other Industries

Core Technology

Others

Other Technologies

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com