An online food ordering and reservation system for a cafe in order to help them in managing all the activities. Customers will be able to order for home delivery, pick-up & dine-in. The system will enable them to reserve a table in the restaurant to avoid the throng caused by people.
Orient Sizzlers
An online food ordering and reservation system for a cafe in order to help them in managing all the activities. Customers will be able to order for home delivery, pick-up & dine-in. The system will enable them to reserve a table in the restaurant to avoid the throng caused by people.
Admin will superintend all affairs via the system and will be able to detect and remove fake reviews from the system. Employees too will stay up to the minute through the system.
Once the system is developed, it will facilitate both the customers of the restaurant and its employees too. The customer will be able to
Register.
Access the menu.
Order for home delivery and pick-up.
Order for dine-in.
Reserve a Table.
Cancel the reservation.
Track their order.
Payment Methods.
Feedback.
The employee panel will enable the employees to
View updates.
View duty roaster.
The admin will be able to
Manage the menu.
Manage the orders.
Manage the employees’ data.
Manage Customer data
Manage Reviews
The system will detect fake reviews using Machine Learning and enable the admin to remove them.
The main objective of our project is to develop an online ordering and reservation system in restaurant to develop a user interface for an online restaurant management system to provide online menu information for customers. People would not have to wait for ordering the food and any kind of booking services which will be eliminating delays in services.
In the current commercial center, there is an extraordinary incentive for restaurants and their administration and this is the need of the hour to automate all the tasks and by shifting to online mode, here comes the feedback which plays a vital role in the decision making procedure of a customer before ordering something. There is a step-by-step increase in the number of cafés and food outlets that are arising today.
Since online business and marketing are on the peek these days, reviews influence buying decisions. According to research, 67% of people check reviews of products before buying the product or ordering something. But, at the same time, competitors use fake reviews to exploit one’s reputation. Another objective of our system is to tackle this issue.
So, our system will enable the admin to detect fake reviews and he then will delete them or hide them.
Project implementation is the process of putting a project plan into action to produce the deliverables, otherwise known as the products or services, for clients or stakeholders. It takes place after the planning phase, during which a team determines the key objectives for the project, as well as the timeline and budget. Implementation involves coordinating resources and measuring performance to ensure the project remains within its expected scope and budget. It also involves handling any unforeseen issues in a way that keeps a project running smoothly.
To implement a project effectively, project managers must consistently communicate with a team to set and adjust priorities as needed while maintaining transparency about the project's status with the clients or any key stakeholders.
So, the first step we took, was to establish a project plan according to the managemnt' s expectation and key stakeholders. This initial step helped to unite the project team and set a collaborative standard for work.
Secondly, we exeecuted the plan and we had regular discussions about the progress of our project. While working on implementation, we made few changes in documentation too since changes is the only constant thing.
We used the real time data for the execution of the project. We gathered all the data from trustable resources. We gathered feedback from the management and make some changes accordingly. Followig these steps, we implemented our whole project.
Minimizing wait times is the most useful feature of our system. A typical restaurant has separate prep areas for the main course, appetizers, and drinks. Getting multiple orders from a customer from all these different areas can confuse the waiters by delivering the wrong order.
While managing your restaurant, the customer is the most important asset. So, Who are your regular customers? What do they like about ordering from your restaurant? Which food items are popular? Are they aware of the promotions and offers on the website? Do they prefer ordering from a website or app? These and many other related questions will be answered using analytics and insights provided by our system. This data is valuable since management can use it to send targeted promotions to customers and entice them to keep coming back.
In-house solutions allow you to analyze ordering trends and customer preferences in depth so you can customize your menu, offerings, deals prices, and so on to provide a tailored experience to everyone. Our system provides all these facilities.
As such, the credibility of online reviews is crucial for businesses and can directly affect companies' reputation and profitability. That is why some businesses are paying spammers to post fake reviews. These fake reviews exploit consumer purchasing decisions. So, our system will also enable admin to detect fake reviews so, it will help the company to enhance their business without any fear of competitors' interference.
We developed an android application, using Flutter and Dart, and Python for Machine Learning for the detection of fake reviews. The tracking API was used for order tracking which costs us a lot. Since we trained a Machine Learning model, it requires a flash ship system and we bought an SSD, GPU, and RAM in order to work efficiently.
The application allows a customer to register and then login into the system for table reservation, cancelation, order booking for home delivery, pick-up, and dine-in, order tracking, and feedback.
For dine-in, a customer has to scan the QR-Code from the table in order to ensure to not spam the traffic of the system. The system offers multiple secure payment methods to users for online payments.
The system also provides few facilities to the guest users. For the employees, it provides the best option of taking orders online by selecting the product and table from the system, so now an order can't be mixed with any other customer. Meanwhile, the employees are able to receive all the updates from admin and can view their duty roaster too.
The Admin can manage all the activities going on in the system and all the cruds related to the customer side and employee as well. Moreover, the system notifies the admin about the reviews which are fake, identified by our ML Model, so that those reviews could be removed or hidden from customers.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| SSD | Equipment | 1 | 18000 | 18000 |
| PNY NVIDIA Quadro P620 V2 Graphics Card | Equipment | 1 | 43000 | 43000 |
| DDR4 2666Mhz Memory | Equipment | 1 | 3700 | 3700 |
| Tracking api | Miscellaneous | 1 | 9000 | 9000 |
| Total in (Rs) | 73700 |
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