Graze Smasher Product Hunting Tool

Project Title

Graze Smasher Product Hunting Tool

Project Area of Specialization Computer ScienceProject Summary

The purpose of this project is to make a Mobile Application (Graze Smasher Product Hunting Tool) to share and discover new products. Users submit survey forms by some categories like Home & Kitchen then we have some survey forms which are filtered from Daraz through Web Scrapping which are listed in a linear format and automatically boosting your Product. The products with the most rating rise to the top of each day's list and a curation of the best new products, every day. First of all, users can register himself and submit a survey form by question, answers, text, images, categories that are already in database after this user will get an Analysis Report through Web Scrapping and Sentiment Algorithm like Shop list, Statistic Chart, Estimated Price, Sales Price, Shop Name, Product Rating, Shop Rating etc. All top 4 or 5 products are displayed in, with the most popular products of each day being featured on the front page. But we have two choices, one for subscription users to make a business model and another for unsubscribers, if the user has subscription, then he will see the whole analyze report and every single point from Scrapper and Sentiment Algorithm but if the user has no subscription, then we will not show some data points to him like he may not see data from Sentiment Algorithm. The Graze Smasher helps in product hunting and ranking on Daraz through Survey Forms and re-cataloging products from multiple data points through Scrapper. After selecting the categories, we have some survey forms which are filtered from Daraz through Web Scrapping then we will quickly check products summary and analysis report about highly profitable Product in market through Sentiment Algorithm. We can also check the product over time to analyze sales, reviews and other metrics included in the Analysis Report. We will help you to rank the products higher in search on Daraz with very less giveaways and bleeding cost and to analyze potential products on DARAZ. This project will allow us to grow, understand and explore regarding the new horizon.

The purpose of this project is to make a Mobile Application (Graze Smasher Product Hunting Tool) to share and discover new products. Users submit survey forms by some categories like Home & Kitchen then we have some survey forms which are filtered from Daraz through Web Scrapping which are listed in a linear format and automatically boosting your Product. The products with the most rating rise to the top of each day's list and a curation of the best new products, every day. First of all, users can register himself and submit a survey form by question, answers, text, images, categories that are already in database after this user will get an Analysis Report through Web Scrapping and Sentiment Algorithm like Shop list, Statistic Chart, Estimated Price, Sales Price, Shop Name, Product Rating, Shop Rating etc. All top 4 or 5 products are displayed in, with the most popular products of each day being featured on the front page. But we have two choices, one for subscription users to make a business model and another for unsubscribers, if the user has subscription, then he will see the whole analyze report and every single point from Scrapper and Sentiment Algorithm but if the user has no subscription, then we will not show some data points to him like he may not see data from Sentiment Algorithm. The Graze Smasher helps in product hunting and ranking on Daraz through Survey Forms and re-cataloging products from multiple data points through Scrapper. After selecting the categories, we have some survey forms which are filtered from Daraz through Web Scrapping then we will quickly check products summary and analysis report about highly profitable Product in market through Sentiment Algorithm. We can also check the product over time to analyze sales, reviews and other metrics included in the Analysis Report. We will help you to rank the products higher in search on Daraz with very less giveaways and bleeding cost and to analyze potential products on DARAZ. This project will allow us to grow, understand and explore regarding the new horizon.

Project Objectives

The main objective is to make a Product Hunting tool which is capable of solving all problems when a product needs to find it's market and help for sellers to find a high-ranking selling product. There are some outcomes from our project We find a final product from the highest rating and demand in public from every domain. This mobile application is live from Daraz for Example Daraz can enter more products on its page after a day or hour or minutes whenever, that's why user can see the same product day by day or the change effect in product after a min or day or whatever time through highest rating of product from every domain through Web Scrapper. Users can see Shop list, Estimated Price, Sales Price, Shop Name, Product Rating etc. While Daraz cannot allow the users to see these statistical points but we will show those points. On Daraz users also check all reviews and rating but sometimes users can see product rating is high and buy or sell the item which is not good in actual because they can ignore the reviews about product from customer that’s why we will show the rating from reviews through Sentiment Algorithm and show product rating through Web Scrapper.

The main objective is to make a Product Hunting tool which is capable of solving all problems when a product needs to find it's market and help for sellers to find a high-ranking selling product.

There are some outcomes from our project

1. We find a final product from the highest rating and demand in public from every domain.

2. This mobile application is live from Daraz for Example Daraz can enter more products on its page after a day or hour or minutes whenever, that's why user can see the same product day by day or the change effect in product after a min or day or whatever time through highest rating of product from every domain through Web Scrapper.

3. Users can see Shop list, Estimated Price, Sales Price, Shop Name, Product Rating etc. While Daraz cannot allow the users to see these statistical points but we will show those points.

4. On Daraz users also check all reviews and rating but sometimes users can see product rating is high and buy or sell the item which is not good in actual because they can ignore the reviews about product from customer that’s why we will show the rating from reviews through Sentiment Algorithm and show product rating through Web Scrapper. 

Project Implementation Method

React Native, Node JS, MongoDB, Swagger Documentation (API)

Web Scrapping, Big Data Analytics, Android application, SMTP, Artificial Intelligence, Sentiment Algorithm For FYP 1: Setup Installation Architecture Base Code Login UI/UX + Frontend Sign Up, Forgot Password UI/UX + Frontend Backend Swagger Code  User Backend Model, Services, Controller, Request and Response Login Registration API Integrate Research and collect Data from DARAZ and entries in database manually Question Answers Given Answers Categories - > For example: HOME & KITCHEN Sub-Categories Make A Drawer with all functionalities UI/UX + Frontend + Backend + API Integrate Profile Dashboard Change Password  Logout Backend working from above Research Model, Services, Controller, Request and Response Show Categories in Dashboard Question Answers Given Answers Categories - > For example: HOME & KITCHEN Sub-Categories Customer Detail UI/UX + Frontend Continue Backend working from all classes  Testing Bug Resolve For FYP 2: Make A Survey Form with all types UI/UX + Frontend Text selection Image selection Image + Text Selection Input Type  Radio Button or Checkbox etc Splash Form  Backend of Survey Forms  API Integration  Handle Frontend Routings Make Own Scrapper for DARAZ UR encoder Make Own Scrapper for DARAZ UR encoder Final Output Screen (Analysis Report) Shop list Chart Estimated Price                                                                                                 cont--- Sales Price Shop Name Product Rating Shop Rating etc Not Found Screen Sentiment Algorithm Implementation Frontend  Setting and Resolving the reflections Final Testing + Evaluation

React Native, Node JS, MongoDB, Swagger Documentation (API)

Web Scrapping, Big Data Analytics, Android application, SMTP, Artificial Intelligence, Sentiment Algorithm

For FYP 1:

Setup Installation Architecture Base Code Login UI/UX + Frontend Sign Up, Forgot Password UI/UX + Frontend Backend Swagger Code  User Backend Model, Services, Controller, Request and Response Login Registration API Integrate Research and collect Data from DARAZ and entries in database manually Question Answers Given Answers Categories - > For example: HOME & KITCHEN Sub-Categories Make A Drawer with all functionalities UI/UX + Frontend + Backend + API Integrate Profile Dashboard Change Password  Logout Backend working from above Research Model, Services, Controller, Request and Response Show Categories in Dashboard Question Answers Given Answers Categories - > For example: HOME & KITCHEN Sub-Categories Customer Detail UI/UX + Frontend Continue Backend working from all classes  Testing Bug Resolve For FYP 2: Make A Survey Form with all types UI/UX + Frontend Text selection Image selection Image + Text Selection Input Type  Radio Button or Checkbox etc Splash Form  Backend of Survey Forms  API Integration  Handle Frontend Routings Make Own Scrapper for DARAZ UR encoder Make Own Scrapper for DARAZ UR encoder Final Output Screen (Analysis Report) Shop list Chart Estimated Price                                                                                                 cont--- Sales Price Shop Name Product Rating Shop Rating etc Not Found Screen Sentiment Algorithm Implementation Frontend  Setting and Resolving the reflections Final Testing + Evaluation

1. Setup Installation

Architecture Base Code

Login UI/UX + Frontend

1. Sign Up, Forgot Password UI/UX + Frontend

Backend Swagger Code 

1. User Backend Model, Services, Controller, Request and Response

Login Registration API Integrate

1. Research and collect Data from DARAZ and entries in database manually

• Question

• Answers

• Given Answers

• Categories - > For example: HOME & KITCHEN

• Sub-Categories

1. Make A Drawer with all functionalities UI/UX + Frontend + Backend + API Integrate

• Profile

• Dashboard

• Change Password 

• Logout

1. Backend working from above Research Model, Services, Controller, Request and Response

Show Categories in Dashboard

• Question

• Answers

• Given Answers

• Categories - > For example: HOME & KITCHEN

• Sub-Categories

1. Customer Detail UI/UX + Frontend

Continue Backend working from all classes 

1. Testing

Bug Resolve

For FYP 2:

Make A Survey Form with all types UI/UX + Frontend Text selection Image selection Image + Text Selection Input Type  Radio Button or Checkbox etc Splash Form  Backend of Survey Forms  API Integration  Handle Frontend Routings Make Own Scrapper for DARAZ UR encoder Make Own Scrapper for DARAZ UR encoder Final Output Screen (Analysis Report) Shop list Chart Estimated Price                                                                                                 cont--- Sales Price Shop Name Product Rating Shop Rating etc Not Found Screen Sentiment Algorithm Implementation Frontend  Setting and Resolving the reflections Final Testing + Evaluation

1. Make A Survey Form with all types UI/UX + Frontend

• Text selection

• Image selection

• Image + Text Selection

• Input Type 

• Radio Button or Checkbox etc

1. Splash Form 

Backend of Survey Forms 

1. API Integration 

Handle Frontend Routings

1. Make Own Scrapper for DARAZ

UR encoder

1. Make Own Scrapper for DARAZ

UR encoder

1. Final Output Screen (Analysis Report)

• Shop list

• Chart

• Estimated Price                                                                                                 cont---

• Sales Price

• Shop Name

• Product Rating

• Shop Rating etc

Not Found Screen

1. Sentiment Algorithm Implementation

Frontend 

Setting and Resolving the reflections

1. Final Testing + Evaluation

Benefits of the Project

1. We find a final product from the highest rating and demand in public from every domain.

2. This mobile application is live from Daraz for Example Daraz can enter more products on its page after a day or hour or minutes whenever, that's why user can see the same product day by day or the change effect in product after a min or day or whatever time through highest rating of product from every domain through Web Scrapper.

3. Users can see Shop list, Estimated Price, Sales Price, Shop Name, Product Rating etc. While Daraz cannot allow the users to see these statistical points but we will show those points.

4. On Daraz users also check all reviews and rating but sometimes users can see product rating is high and buy or sell the item which is not good in actual because they can ignore the reviews about product from customer that’s why we will show the rating from reviews through Sentiment Algorithm and show product rating through Web Scrapper. 

Technical Details of Final Deliverable

The e-commerce industry continues to grow and every year, many more people are venturing into products and other related businesses. To compete effectively with other sellers, you need to ensure that you upload products that customers need.

Online sellers feel the pressure when they need to compete and make a high-profit margin at the same time. We will help sellers to make more and also choose well when it comes to product selling.

Product Sourcing:

Many sellers when starting do not know what products will sell well and which ones will compete effectively in the market. It is necessary to find a tool that will help with product sourcing. This is where the product hunting tool come in because they will help to find winning products that will help you run a profitable business.

Scanning Products:

You may need to explore different Products when you are selling online and it is important to find out which are the best ones to explore. Our product hunting tool will help you scan different Products so that you can be sure the when you outgrow your current Product; you will be prepared to sell on other Products.

Cost & Time:

The expense and time needed in this framework is very low and no need for wasting time and money to check on the products and get the loss that’s why our product will help with most issues is vital for sellers

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology OthersOther Technologies Artificial Intelligence(AI), Big DataSustainable Development Goals Quality Education, Industry, Innovation and Infrastructure, Sustainable Cities and CommunitiesRequired Resources

The main objective is to make a Product Hunting tool which is capable of solving all problems when a product needs to find it's market and help for sellers to find a high-ranking selling product. There are some outcomes from our project We find a final product from the highest rating and demand in public from every domain. This mobile application is live from Daraz for Example Daraz can enter more products on its page after a day or hour or minutes whenever, that's why user can see the same product day by day or the change effect in product after a min or day or whatever time through highest rating of product from every domain through Web Scrapper. Users can see Shop list, Estimated Price, Sales Price, Shop Name, Product Rating etc. While Daraz cannot allow the users to see these statistical points but we will show those points. On Daraz users also check all reviews and rating but sometimes users can see product rating is high and buy or sell the item which is not good in actual because they can ignore the reviews about product from customer that’s why we will show the rating from reviews through Sentiment Algorithm and show product rating through Web Scrapper.