Adil Khan 11 months ago
AdiKhanOfficial #FYP Ideas

Food e Pie

Executive Summary Problem Statement The problem is people don?t know what and how to cook. Have you ever asked questions like which meal you want to eat? Normally, everyone asked but we don?t have enough choices. Most of us want to taste new recipes b

Project Title

Food e Pie

Project Area of Specialization

Computer Science

Project Summary

Executive Summary

Problem Statement

The problem is people don’t know what and how to cook. Have you ever asked questions like which meal you want to eat? Normally, everyone asked but we don’t have enough choices. Most of us want to taste new recipes but we don’t know their names or we don’t have ingredients. Sometimes we have ingredients but we don’t know how to make fresh meal or a new recipe from these ingredients. Most of us know the names of many recipes, but don’t know how to make them at home. We are all conscious about our health & we don’t know how much calories and proteins we are taking in our meal. We get the recipe and ingredients but some ingredients are missing.

Solution

 Food-e-Pie is personalized food recipe generator android application. Food-e-pie which will develop a recommending system which will recommend a food recipe on the basis of user interest and user past history and also on the basis of available ingredients. User can also add their own recipe and other user can give reviews to it and user can also buy ingredients on same platform and track their Health chart.

Business opportunity from Food-e-Pie is built in store. Ingredient we are selling will be delivered from our own warehouse.

Methodology

  • Android Application
  • Frame work Flutter
  • Tensor flow light
  • Languages Dart and python
  • Aws Cloud Storage

In long terms we can add feature like a user adding a recipe and will to sell that dish online from home for other users that don’t want to cook.

Executive Summary

Problem Statement

The problem is people don’t know what and how to cook. Have you ever asked questions like which meal you want to eat? Normally, everyone asked but we don’t have enough choices. Most of us want to taste new recipes but we don’t know their names or we don’t have ingredients. Sometimes we have ingredients but we don’t know how to make fresh meal or a new recipe from these ingredients. Most of us know the names of many recipes, but don’t know how to make them at home. We are all conscious about our health & we don’t know how much calories and proteins we are taking in our meal. We get the recipe and ingredients but some ingredients are missing.

Solution

 Food-e-Pie is personalized food recipe generator android application. Food-e-pie which will develop a recommending system which will recommend a food recipe on the basis of user interest and user past history and also on the basis of available ingredients. User can also add their own recipe and other user can give reviews to it and user can also buy ingredients on same platform and track their Health chart.

Business opportunity from Food-e-Pie is built in store. Ingredient we are selling will be delivered from our own warehouse.

Methodology

  • Android Application
  • Frame work Flutter
  • Tensor flow light
  • Languages Dart and python
  • Aws Cloud Storage

In long terms we can add feature like a user adding a recipe and will to sell that dish online from home for other users that don’t want to cook.

Project Objectives

Objective

 Food-e-Pie is to help users to make food recipes at home with ease. The Methodology for Food-e-Pie is flutter framework with dart language. Foe recommendation we’ll use collaborative filtering algorithm. For data search we’ll use content based algorithm.

Project Implementation Method

Methodology

  • Android Application
  • Frame work Flutter
  • Tensor flow light
  • Languages Dart and python

Aws Cloud Storage

Benefits of the Project

The project will help in knowledge economy in different features.

Food e Pie will help people to cook food at home.

Application can be used by

  • Hostilities students and office workers
  • House wives

Technical Details of Final Deliverable

Final product will be user-friendly an android application for personalized food recipe. It will have basic features.

  • Recipe recommender

App will recommend on your taste based on your early interest.

Our application offers hundreds of recipes available. It recommends recipe for each user based on their past history. It will show recipe of meal, ingredients and calories etc. User can select desire recipe on the base of reviews. User will select available ingredient and the system will recommend other ingredients on the basis of 1st ingredient. Recipes will be generated on the basis of selected ingredients

  • Recipe adder

User can add a new recipe. User will be able to publish the recipe if recipe meets basic criteria i.e. ingredients, recipe making procedure.

Other user can give reviews to user’s added recipe.

  • Health chart

Based in the user’s eatable history, the recipe’s calories and proteins will be added in the health chart. User can be able to view health chart on daily basis. If  a user is diabetic or having blood pressure, there will be an alert for them in each recipe

  • Built-in Store

In recipe making, user can order all the ingredients mention in the recipe.If some of the ingredients are available, user can uncheck those ingredients.

Final Deliverable of the Project

Software System

Core Industry

Food

Other Industries

IT , Others , Health

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others, Big Data

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

Elapsed time in (days or weeks or month or quarter) since start of the project Milestone Deliverable
Month 1Requirement SpecificationInception phase
Month 2Requirement Specification & Design and Analysisrequirements and constructing models
Month 3Design and AnalysisDomain model, use case and Class diagram
Month 4Design and Analysis and implementationstart development according to documentation
Month 5implementationimplementation of recipe recommended module
Month 6implementationimplementation of recipe adder module and health chart module
Month 7implementationimplementation of Built-in store feature
Month 8Testingtesting the version 1.0 prototype
If you need this project, please contact me on contact@adikhanofficial.com
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