1.
13th INTERNATIONAL PROJECT COMPETITION & EXHIBITION
23rd & 24th FEB 2023
Photo
(Student 1)
Photo
(Student 2)
ALAN
RICHARD
CROSS F
College Name : BANNARI AMMAN
INSTITUTE OF TECHNOLOGY
FAKE PRODUCT REVIEW
MONITORING
Reference Number : 6381024477,7395895810
DHARSHA
SIVASHANKA
RI K P
Joint Collaborative Event

2.
Index
Project Details/Problem Statement
1
2
3
4
5
6
7
8
9
Concept of the Solution
Novelty / Scope of Solution
Pros and Cons of the solution
Technical Description
Implementation Plan or Working Model
(as the case may be)
Validation/Testing/Analysis
Cost Estimate (If needed)
References

3.
Problem Statement
Please summarize your Problem/Project
The problem addressed by the project is the difficulty in identifying genuine
product reviews among many available online. To address this problem, the project
introduces a "Fake Product Review Monitoring and Removal for Genuine Online Product
Reviews Using Opinion Mining" system. The goal of the system is to help users find
accurate reviews by monitoring and removing fake ones. The system tracks the IP address
of the reviewer and informs the admin if it identifies patterns of fake reviews from the
same IP address. The project is expected to help users make informed purchasing decisions
based on accurate product reviews.

4.
Concept of the solution
Brief about the concept of your solution
The "Fake Product Review Monitoring and Removal for
Genuine Ratings" project aims to address the issue of fake product
reviews online by using data mining to identify and remove them. The
system tracks the IP address of the review poster and checks for patterns
of fake reviews. If a review is identified as fake, the admin is informed to
remove it. The goal is to provide users with genuine reviews and help
them make informed purchasing decisions. This solution helps users to get
accurate product information and avoid being misled by fake reviews.

5.
Novelty / Scope of Solution
What is novel in your mentioned idea and scope of the proposed solution
The novelty of the idea lies in the use of opinion mining and data
mining methodology to identify and remove fake product reviews. By tracking
the IP address of the reviewer and identifying patterns of fake reviews coming
from the same IP address, the system aims to provide a more accurate and
trustworthy representation of a product's reputation.
The scope of the proposed solution is limited to the identification and removal
of fake product reviews in a website. It provides a platform for users to view and
post genuine reviews, and helps them make informed purchasing decisions. The
system is expected to increase the credibility of product reviews and improve
the user experience.

6.
Pros and Cons of the solution
What is novel in your mentioned idea and scope of the proposed solution
The novel aspect of the proposed solution is the use of opinion
mining and data mining methodology to monitor and remove fake product
reviews. By tracking the IP address and review posting patterns, the system
aims to identify and eliminate fake reviews to provide users with genuine
online product reviews. This approach is unique and addresses a common issue
in the online product review industry, which is the prevalence of fake reviews
that can mislead users and compromise the reliability of online reviews.

7.
Technical Description
Technical description, without fundamental theories. can include images or block diagrams.
[Product Addition] → [User Login] → [Product View & Review] → [IP Address Tracking] → [Fake Review Detection] → [Review Removal] ← [Admin Panel]
[Product Addition]: The admin adds products to the system.
[User Login]: Users log into the system with a user ID and password.
[Product View & Review]: Users can view products and post reviews about them.
[IP Address Tracking]: The system tracks the IP address of users who post reviews.
[Fake Review Detection]: The system uses data analysis to detect fake reviews and identify patterns in the IP addresses used to post them.
[Review Removal]: If the system identifies multiple fake reviews from the same IP address, it informs the admin to remove the review from the system.
[Admin Panel]: The admin can manage the system, including adding products and removing fake reviews.

8.
Implementation Plan/Working Model
Implementation plan or briefly explain the working Model, addressing the mentioned Challenge/Problem
The working model of the "Fake Product Review Monitoring & Removal for Genuine Ratings" system can be implemented as follows:
Product Setup: The admin first adds products to the system that users can review.
User Login: Users can access the system and view the products. They can then post a review about the product they are interested in.
IP Address Tracking: The system tracks the IP address of the user who posts the review.
Review Monitoring: The system then monitors the reviews to determine if they are fake or genuine. This can be done using opinion mining and data mining techniques.
Fake Review Detection: If the system detects a fake review, it will inform the admin, who can then remove the fake review from the system.
User Benefit: The system provides users with genuine product reviews, allowing them to make informed purchasing decisions.
To address the challenge of fake reviews, the system uses IP address tracking and review monitoring techniques to detect fake reviews. If the fake reviews are coming from the same IP address,
the system will inform the admin to remove them. However, if the social media optimization team uses different IP addresses to post fake reviews, the system may not be able to detect them. In
such cases, additional techniques, such as sentiment analysis and machine learning algorithms, can be used to improve the system's ability to detect fake reviews.

9.
Validation / Testing / Analysis
Test result or proof validating your mentioned solution

10.
Cost Estimate(if required)

11.
References

12.
THANK YOU

13.
⮚ You must bring your own laptop for the presentation with the Jury
⮚ Not more than 11 slides
⮚ Do not give any theoretical fundamentals.
⮚ Illustrate with suitable means such as Drawings, examples, algorithms, flow chart etc.,
⮚ Use consistent format
⮚ Check for spelling and grammar – ensure no errors (spell check)
⮚ Highlight the major advantages of the technique/method proposed when
compared with other techniques or conventional techniques
⮚ While uploading the PPT file, rename as VISAI User Name(20XXXX)
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