Paying Guest

Project Title

Paying Guest

Project Area of Specialization Artificial IntelligenceProject Summary

Our PG locator is a mobile app that seamlessly connects and interacts with everyone globally. PG locator is a valuable tool for the modern business. PG locator is an android based application that helps to find a good and authorized PG. The main objective of the project is to develop an application that provides PG’s information regarding the location, facilities, food, price, maps, transportation facility, and safety measures. The process of house hunting is simplified with the introduction of the PG locators. the pain of unnecessarily spending some amount of money on the housing brokers is also reduced to a certain level with the introduction of this app

Project Objectives

The main objective of the project is to develop an application that provides PG’s information regarding the location, facilities, food, price, maps, transportation facility, and safety measures. Any news, information, advertisements, displayed on this website reaches millions of potential customers. PG LOCATOR For Searching PG Hostel Or Rental Houses.

Project Implementation Method

The main objective of the project is to develop an application that provides PG’s information regarding the location, facilities, food, price, maps, transportation facility, and safety measures. Any news, information, advertisements, displayed on this website reaches millions of potential customers. EXISTING SYSTEM: In the present system a customer can get only little information like address, contact number and food. Due to lack of information like price, exact location, security measures, the customer is unable to find the best PG of their choice. Often the customer may be misguided.

Benefits of the Project

To develop an application that provides PG’s information regarding the location, facilities, food, price, maps, transportation facility, and safety measures.

Features:

A. Quick search to paying guest.

B. View search results on map.

C. Call the paying guest owner.

D. Can get Facility details:

1. Administrator module

2. Registration module

3. Pg_owner module

4. User module

5. Verification module

6. Verification module

I. Verification details

II. Can get facility details

Technical Details of Final Deliverable

Sentimental classification use sentimental analysis(Textual review )

TECHNIQUE:

SVM(Support Vector Machine-show graphical representation )&Nave Bayes Alogrithm ( Naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong independence assumptions between the features. They are among the simplest Bayesian network models, but coupled with kernel density estimation, they can achieve higher accuracy levels) to take review and comments 

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education Core Technology Artificial Intelligence(AI)Other Technologies Shared EconomySustainable Development Goals Industry, Innovation and Infrastructure, Sustainable Cities and CommunitiesRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	70000
Laptop	Equipment	1	45000	45000
Smart phone	Equipment	1	25000	25000