Hybrid shopping assistant
Shopping can be very hectic on the mind and the constant fear of forgetting something important in your grocery items, not having cash on hand, and not being aware of the best option in the lot are some hassles that a lot of people face in their shopping endeavors. Despite being able to make a list
2025-06-28 16:27:44 - Adil Khan
Hybrid shopping assistant
Project Area of Specialization Artificial IntelligenceProject SummaryShopping can be very hectic on the mind and the constant fear of forgetting something important in your grocery items, not having cash on hand, and not being aware of the best option in the lot are some hassles that a lot of people face in their shopping endeavors. Despite being able to make a list otherwise, a lot of necessities are forgotten along the way, and carrying a list is not something a lot of us like to do. This is the problem for almost every person.
Our goal for this project is to create an application for an easy shopping experience and the following points are our project objectives:
• Recommendation of Products by Content and Collaborative Filtering.
• Loyalty Points and Digital Wallet.
• Unique User QR Codes for easier Payments.
• Digital Billing.
• Comparative Comparison for Cost Management?
The subject of our project is to develop an application which will help the customers in their shopping. This system aims to bring a solution to all of those problems by implementing Machine Learning on the user’s purchase history to provide the best recommendations needed for their next shopping trip and a loyalty-based Digital Wallet system. We will be going for a Hybrid Approach of Content-Based and Collaborative Filtering to recommend different customers’ products based on their purchase history and will allow them to keep a record of their purchases and enable an easier shopping experience. The Interface will be a mobile application that will hold user data and have a Loyalty based profile through which the user will be able to do purchases with the help of a QR Code generated for each unique user. This application will also provide users with a Digital History of all their purchases in the past and will allow them to easily navigate and search through them.
Project ObjectivesThe Aim for this Application is to enhance the customers shopping experience and make it more comfortable by providing them with the right tools to manage their shopping and ensure that as much precious time as possible is saved whilst also giving them relevant recommendations of other products that they might like based on their own interests.
Shopping List:
A Traditional Shopping list can be a big hassle to carry as it can be crumbled, torn or lost very easily, and carrying a pen to mark every item you've purchased can be pretty awkward and unnecessary.
Availability:
Going to a store and going through all the shelves to find out that a product is unavailable is a huge disappointment and waste of time and hence, knowing if a product is available for sale can increase customers’ confidence while shopping.
Loyalty Cards:
Loyalty Cards are a great way of rewarding customers for their purchases with some points for redeeming later but carrying a card each time you go to a shop is sometimes not practical, hence this obligation to carry another physical object (The Card) is also something that could be avoided.
Record/Fading Receipts:
Keeping a record of your past purchases is a great hassle and searching through them is even harder as they're either half/fully vanished or too long to go through to find an item. Searching through past receipts should be possible without all that hassle.
Project Implementation MethodThe project is based on Data-centered software architecture which is characterized by a centralized data store that is shared and utilized by all surrounding software components. Hybrid Shopping Assistant is decomposed into two major partitions: data store and independent working components. The software components don't communicate with each other directly; instead, all the communication is conducted via the data store. The shared data module provides all mechanisms for software components to access it, such as insertion, deletion, update, and retrieval.
Benefits of the ProjectThe Supermarket is a place or an area where any individual or a crowd can discover numerous objects of each day use like grocery, meat, end result etc. The outcomes of experience and challenges usually come across differently in either way confusing or sometime hassle with respect to choice, promotions, price and apparently new introduced, either the way items instances changed.
Shopping can be very hectic and the constant fear of forgetting something important in your grocery items, sometimes not having cash in hand, or either not being aware of the best option available for to opt, is a commonly faced challenge by number of people encounter in their shopping endeavors.
Despite being able to make a list otherwise, a lot of necessities are forgotten along the way, which usually breach the budget as well as comfort if once realized that items are still pending, missing or left to buy. Instead of these, majority of usually consumers don’t follow or like to make a list and carrying it along with them.
There are scenarios where people get failed and sometimes exhaust with the delay of items, they really need to be facilitated proactively, rather making it long queue wait. As a solution there must be a comprehensive phenomenon to be pitched or placed in a way that these sorts of stands can be addressed, moved to counter and come up with that we are out of service or the article is on the technique will be available shortly or in other sense satisfy advise any other if the required is not reachable.
An online application integrated with live database. This system aims to bring a solution to all of those problems by implementing Machine Learning on the user’s purchase history to provide the best recommendations needed for their next shopping trip and a loyalty-based Digital Wallet system.We will be going for a Hybrid Approach of Content-Based and Collaborative Filtering to recommend different customers’ products based on their purchase history and will allow them to keep a record of their purchases and enable an easier shopping experience. The Interface will be a mobile application that will hold user data and have a Loyalty based profile through which the user will be able to do purchases with the help of a QR Code generated for each unique user. This application will also provide users with a Digital History of all their purchases in the past and will allow them to easily navigate and search through them.
Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Decent Work and Economic Growth, Sustainable Cities and Communities, Responsible Consumption and ProductionRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 58021 | |||
| Api server | Equipment | 1 | 23787 | 23787 |
| Fyp report printing | Miscellaneous | 1 | 4500 | 4500 |
| Database server | Equipment | 1 | 29734 | 29734 |