roll no 38 for all topic presentation.pptx

CPP project

1. Artificial Intelligence & Machine Learning Subject: Capstone Project Planning(22050) Name of Team ( DataDynamos ) ( 2210920418 ) Abhijeet Shinde - Leader ( 2210920390 ) Kazi Junaid ( 2210920414 ) Shaikh Anas Name of Guide (if allocated)

2. Online Food Ordering System Description: The Online Food Ordering System is a digital platform that enables users to browse menus, place orders, and make payments for food delivery or pickup from various restaurants. The system offers a user-friendly interface for customers to view restaurant options, customize their orders, and track delivery status in real-time. For restaurant owners, it provides tools to manage orders, update menus, and analyze sales data. This system streamlines the ordering process, reduces wait times, and enhances customer convenience by allowing seamless interaction between diners and eateries from the comfort of their devices. Domain: Website. Technology: HTML, CSS, JS, PHP, SQL,MONGODB. Result: .

3. User-Friendly Interface: Simple navigation for easy menu browsing and order placement . Personalized Experience: Customize orders and save favorite meals for quick reordering . Real-Time Order Tracking: Live updates on order status from preparation to delivery . Secure Payment Options: Various payment methods with encryption for secure transactions . Efficient Restaurant Management: Tools for order management, menu updates, and performance analytics . Enhanced Customer Convenience: Reduced wait times and hassle-free food ordering experience.

4. 2. Real time stocks price prediction Description: The Real-Time Stock Price Prediction system leverages advanced machine learning algorithms and statistical models to forecast stock prices based on current market data and historical trends. By analyzing live market signals and price movements, the system provides instant predictions and alerts, enabling investors to make informed decisions. Features include interactive dashboards that display real-time predictions alongside historical data, helping users visualize trends and assess potential risks. This system enhances investment strategies by offering timely insights and reducing uncertainty in stock market investments. Domain : Real-Time Stock Price Prediction system is primarily software and often delivered via websites or applications rather than hardware. Technology: Python

5. Dynamic Analysis: Uses advanced algorithms to forecast stock prices in real-time based on current market data . Predictive Models : Employs machine learning and statistical models to analyze historical trends and market signals . Instant Updates: Provides real-time predictions and alerts for informed investment decisions . Interactive Dashboards: Visualizes predictions and historical data with user-friendly charts and graphs . Risk Management: Helps investors gauge potential risks and opportunities with up-to-date forecasts .

6. 3. Mall management system Description: The Mall Management System is a comprehensive digital platform designed to streamline and optimize the operations of a shopping mall. This system integrates various functionalities to enhance the efficiency of mall management, improve tenant and customer experiences, and provide actionable insights for decision-making. Domain: Website Technology : HTML ,CSS, JavaScript, PHP ,SQL , JAVA [Note: 1. you can add images, clips, and design for better view experience, such as in Technologies rather than python you can add logo of python. 2. If information take more space than slide, then you can create a next slides.]

7. Tenant Management: Facilitates the administration of mall tenants, including lease management, store assignments, and maintenance requests. It provides tools for tracking lease agreements, renewals, and tenant contact information. Space Allocation: Manages the allocation of retail spaces within the mall, helping to optimize the placement of stores based on foot traffic data and tenant preferences. Maintenance and Facility Management: Allows for the reporting and tracking of maintenance issues, scheduling of regular upkeep, and management of facility resources to ensure a well-maintained environment. Customer Experience Management: Enhances customer interactions by offering features such as digital directories, promotional alerts, and loyalty programs. It helps in tracking customer feedback and improving overall satisfaction. Event Management: Organizes and manages mall events, including marketing campaigns, promotions, and special activities, with tools for scheduling, coordination, and performance tracking. Data Analytics and Reporting: Provides dashboards and reports on various metrics, such as foot traffic, sales performance, and tenant occupancy rates. This data helps in making informed decisions and identifying trends.

8. Any question

9. Thank you!