Package Recommender System

Project Title

Package Recommender System

Project Area of Specialization Artificial IntelligenceProject Summary

Mobile phones are in common use nowadays, and so are SIM cards. A huge percentage of people use SIM cards to communicate with different servers. We know that SIM card companies are providing special packages to their audience to engage them in their services. The goal is to fulfill the requirements of the user, but a lot of packages are not according to the user's requirements. A lot of money, data, and work is wasted in this process. So, for that purpose, we are providing a better solution. A package recommender system provides you with the best packages suitable for your requirements. It is an AI-based application that can track your monthly usage of data, calls, and SMS and then recommend you the best package provided by your SIM card company. Our vision is to provide users with a good enough application that can recommend the best packages according to their requirements. The Bugstech team wants to make it a useful tool for people all around the world.

Our mission is to provide packages to the public in an intelligent way. Management’s mission is to provide the best possible application for users.

Our main goal is to recommend packages. We want to replace every other recommended application. Generate the maximum revenue. Make a profit from the maximum revenue. Introduce modern techniques to attract the public. Update the idea by involving SIM card companies. Our product is a Package Recommender Application, and we want to give services to all those people who want the best suitable package for use. It can save them time and money. and also give companies better information about what types of packages are in demand.

Project Objectives

Our main goal is to recommend packages. We want to replace every other recommended application. Generate the maximum revenue, Make a profit from the maximum revenue. Introduce modern techniques to attract the public. Update the idea by involving SIM card companies.

Project Implementation Method

As far as the competition is concerned, there are some applications that are working on package recommendations, but they do not include AI in them. We recommend tracking the activities of the user and then providing the best solution. After market research, we came to know that all these other applications are using collaborative filtering to recommend. But we are using content filtering and AI to make it way more accurate and reliable.

Benefits of the Project

Drive Traffic. A recommendation engine can bring traffic to your site.  Provide Relevant Material. Engage Customers. Transform Shoppers to Clients. Increase Average Order Value. Boost Number of Items per Order. Control Retailing and Inventory Rules. Lower Work and Overhead.

Technical Details of Final Deliverable

Recommender system has mainly three data filtering methods such as content-based filtering technique, collaborative based filtering technique, and the hybrid approach to manage the data overload problem and to recommend the items to the user the items they are interested in from the dynamically generated data.

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Quality Education, Decent Work and Economic Growth, Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	35000
Play Store Registration	Equipment	1	5000	5000
ASO (Appstore Optimization)	Equipment	1	10000	10000
Co working space rent for 5 members	Equipment	1	20000	20000