Cosmetics Sentiment Shop

Project Title

Cosmetics Sentiment Shop

Project Area of Specialization Artificial IntelligenceProject Summary

It is a Sentiment analysis of some cosmetic products which is used to analyze raw text to drive objective quantitative results using Natural Language Processing and Machine Learning. It is used to detect positive or negative sentiment in text, and often use it to grow the businesses reputation among their customers. To meet the customer’s satisfaction about the product that they want to purchase. So, we propose an advanced Sentiment Analysis for Product rating system through their website that detects hidden sentiments in comments and rates the product based on them. The user can easily find the right product for their needs. Now, a lot of people make their buying decision about a product based on that product rating or reviews. Because of this, e-commerce web-based applications are mostly focused on product rating to improve their sales and profits. The negative and Positive product comments are responsible to generate positive and negative sentiments to user’s buying mentality and to create their trust towards that product. Cosmetics products are used as face care to enhance beauty. A product can elicit a range of customer's emotion, including both positive and negative feelings. Many beauty product users are sharing their experiences in order to help other consumers find the right products to buy and to review the products. In order to achieve the desired functionality, the system employs sentiment analysis concepts.

Project Objectives

• To meet the customer’s satisfaction about the product that they want to purchase. So, we propose an advanced Sentiment Analysis for Product rating system through AI that detects hidden sentiments in comments and rates the product based on them.
• The system collects user comments and determines whether the product is good, bad, or worst based on the comments. The user can easily find the right product for their needs.
• The user can easily find the right product for their needs.
• This system is also useful for users who require product reviews.
• Nowadays, a lot of people make their buying decision about a product based on that product rating and reviews. Because of this, e-commerce web-based applications are mostly focused on product rating to improve their sales and profits.

Project Implementation Method

After designing it Implementation method will be started, then an Ecommerce website by React Web App will be developed, Mobile Application by React native Mobile App with python Flask backend and Sentiment Analysis will be done by using Machine Learning Algorithm, NLP, Graphic Card (Gigabyte Nvidia GeForce GTX 1650 OC 4GB GV-N1650OC-4GD) will be used to run large amount of data. Google Console Account is needed to run an application on Play Store. EasyPaisa Plug-ins will be used for payment.

Benefits of the Project

• Best for Cosmetic Enthusiasm
• Automatic rating of cosmetics products
• Users’ satisfaction level about the product will be classified automatically
• It grows the businesses reputation among their customer
• Identifying key emotional Triggers
• Increasing Sale Revenue due to auto reliable machine rating of the reviews
• Detects Changes in the overall opinion towards the brand.

Technical Details of Final Deliverable

Website

Easy Navigation User Friendly Responsive Website Pages Optimized for Mobile Well Planned Information Architecture Signup/SignIn

Mobile App

Registration Process User Friendly Search Option Rating and Feedback Product Gallery Shopping Cart

Rating Feature

Automatic classification of customer reviews Aspect-Based Analysis Product reviews by user Reviews will be available for all users Reviews will be analyzed by AI

Website

• Easy Navigation
• User Friendly
• Responsive Website Pages
• Optimized for Mobile
• Well Planned Information Architecture
• Signup/SignIn

Mobile App

• Registration Process
• User Friendly
• Search Option
• Rating and Feedback
• Product Gallery
• Shopping Cart

Rating Feature

• Automatic classification of customer reviews
• Aspect-Based Analysis
• Product reviews by user
• Reviews will be available for all users
• Reviews will be analyzed by AI

Final Deliverable of the Project Software SystemCore Industry OthersOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Decent Work and Economic GrowthRequired Resources

Elapsed time in (days or weeks or month or quarter) since start of the project	Milestone	Deliverable
Month 1	Requirement gathering	project plan
Month 2	SRS document	UML diagram & ERD
Month 3	Prototyping & Designing	Web App & UI design Mobile App prototype & design
Month 4	Database Development	Database
Month 5	Web App development Module 1and database integration	Developed Web App Module 1 and database integration
Month 6	Web App development Module 2	Developed Web App
Month 7	Mobile App development Module 1and database integration	Developed Mobile App Module 1 and database integration
Month 8	Mobile App development Module 2	Developed Mobile App
Month 9	Integrate Web App & Mobile App	Integrated Project
Month 10	Testing	Tested Project
Month 11	Deployment	Web & Mobile App Deployed