The Nyx-lang programming language and interpreter were designed to be a simple, expressive tool for learning about programming language design and interpretation. The interpreter uses a top-down operator precedence (TDOP) approach to parse and interpret complex expressions, and supports various language features such as variables, loops, conditional statements, and functions. The interpreter first performs a lexical analysis pass over the source code, the tokens produced in this stage are then parsed into an abstract syntax tree (AST). The type-checker then performs a type checking pass over the AST, this check ensures that the source code doesn’t perform any invalid operation. The check also ensures that the expressions have the correct types and that the return types of functions and expressions are consistent. Finally, the evaluator walks the AST and evaluates each statement. The evaluator can handle complex control flow statements such as loops and conditional statements. Due to the presence of the type-checker, the evaluator is concise and efficient. Overall, the Nyxlang interpreter is an educational tool that provides insight into the design and interpretation of programming languages, and how type-checking can be used to ensure type safety and reliability when writing and executing programs.

2D games are a fantastic way to have fun without using a lot of resources. Simpler games are being overlooked as resource-intensive 3D games take over the market today. According to the global and Nepali gaming trends, there is a sizable audience for games in this time and age. The game development engine Unity is used in this project, and C# is used for the scripting portion. Additionally, Unity has a 2D engine. It offers us pre-built classes and libraries to aid in the development of 2D games. Through scripting, objects can have behaviors assigned to them. Unity's animator and animation window are also used to improve the game's usability. Playing 2D games on our laptops or mobile devices is a terrific way to pass the time while we're on the go. The process of creating these games is wonderful because it teaches us a lot about games and how everything works—things we may have overlooked the entire time we were playing them. Since there is an expanding gaming audience, I am confident that projects like these will remain important in the future.

The "Party Venue Finder and Booking" project is a system that uses the internet to find and reserve party venues for gatherings. The goal of this project is to build and deploy an online system for reserving party venues that will take the place of the current manual system. One of the main applications of the web as a commercial medium since its emergence has been for marketing. For the vast majority of profitable businesses, the internet has evolved into a crucial distribution channel. People have relied on online applications since they provide a quicker and easier way to finish any task. Due to the lack of web applications in the nation, people are forced to search for and book banquets on their own while rushing from one location to another in quest of a better location. Therefore, the project's goal was to create an online booking system for venues so that clients could reserve a space for their special event whenever and wherever they liked. Both the owners of the banquets and all the clients looking for a location to have an event will benefit from the project. This website will offer a platform for people to browse a list of all the venues that are offered in the valley, along with a description of the location, capacity, pricing range, and venue availability date.

Web based auction system is a versatile approach for facilitating lot-based online auctioning system. The project “Web based auction system” is a website that holds auctions of various products on a website and serves sellers and bidders accordingly. This system is designed to allow users to set up their products for auctions and bidders to register and bid for various products available for bidding. This site brings the auction to the fingertips of aspiring bidders and sellers to a wider section of products. One may browse deals and put bids on a secure server using the web based auction system. On the basis of its reliability, efficiency and security, it is not wrong to say that this auction system is unique and can differ from all other systems which are also developed and designed for the purpose of auctioning.

An online job portal is a platform that allows job seekers to search for and apply to job openings posted by employers. It typically includes features such as a resume builder, job search filters, and the ability to apply directly through the portal. The goal of an online job portal is to make the job search process more efficient and convenient for both job seekers and employers. It can be used by individuals looking for their first job, as well as experienced professionals seeking a new opportunity. The online job portal can be accessed through a web browser on a computer or mobile device, making it convenient for job seekers to search for jobs at any time and from any location.

2 dimensional games are a great way of having fun without needing heavy resources. Today resource intensive 3D games are dominating the scene and simpler games are being forgotten. There is also a huge audience for games as we can see the trend of gaming in Nepal and also internationally. In this project the game development engine unity is utilized and for the scripting part, C# is used. Unity has its own 2D engine as well. It provides us with built in classes and libraries to aid 2D game development. Objects are given behaviors and through scripting. The animator and animation window in unity are also utilized for making the game more intuitive. 2D games are a great way of having some fun on the go on out laptops or mobile phones. Developing these games is a great experience which teaches us a lot about games and how everything works that we might have ignored for all this time while playing games. There is an increasing audience for gaming so I am assured that projects like these will still be relevant in the future

In the midst of the continuous COVID-19 widespread, there are no productive confront cover location applications which are present in the tall request for transportation implies, thickly populated zones, private locale, large-scale producers, and other ventures to guarantee security. The absence of huge datasets of ‘with mask’ pictures has made this assignment lumbering and challenging. So, this project “Face Mask Detection System” enables the user to identify whether individuals wear masks before entering a company or an organization and ensures that people are informed about masks and promotes health safety and well-being. It uses Deep Learning and Computer Vision concepts to detect face masks in real-time video streams and alert the user if they are wearing the mask and if not, will prompt them to wear it. It is supposed to help people and businesses one step ahead in this dire situation of the corona virus pandemic. It’ll help businesses identify if their customers are wearing a mask or not, and alert them to wear it before they enter the premises to do transactions. As simple as it looks, various studies and research papers show that wearing the mask is still an affection way to break the chain of transmission of the covid-19 virus as well as other airborne diseases. This application ensures that people are informed about masks and promotes health safety and well-being.

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Various investigations show that driver's drowsiness is one of the main causes of road accidents. The current technology in digital computer system allows researchers around the world to study the fatigue behavior. The purpose of this project is to detect the drowsiness in drivers to prevent the accidents and to improve the safety on the highways. Real time face detection is implemented to locate driver's face region. In this project the eye blink of the driver is detected. If the driver's eyes remain closed for more than a certain period of time, the driver is said to be drowsy and an alarm is sounded. The programming is done in python language and Open CV. The Histogram of Oriented Gradients technology and the learned Face Landmark estimation techniques were used to detect faces and eyes. Furthermore, the concept of Eye Aspect Ratio was used to detect drivers' drowsiness. This project aims to develop drowsiness system. Through these works, research and make technology of intelligent vehicle systems and vision computing, which is gaining much attention recently.

This report presents a mobile application designed to help users efficiently settle multiple debts among friends and family members. The main problem that the application addresses is the difficulty of tracking and settling debts among peers. The app uses a debt minimization algorithm, which calculates the optimal repayment strategy by minimizing the number of transfers and the total amount transferred. This helps users to save time and money by reducing the number of transactions required to settle their debts. Additionally, the app allows users to create and join groups, which makes it easy to keep track of debts among a group of people, add transactions, and view recommendations for settlements, making it easy to see the status of their debts and make payments. The app is user-friendly and compatible with a range of devices and platforms, including both Android and iOS. The application has a clean and simple interface, which makes it easy to navigate and understand. Overall, the project aims to provide a convenient and reliable tool for managing debts and payments, helping users to easily track and settle their debts with friends and family members. In summary, this report describes a mobile application that utilizes a debt minimization algorithm to help users efficiently settle their debts with friends and family members. The app provides a user-friendly and convenient platform for managing debts and payments, and its unique features, such as group functionality and cross-platform compatibility, make it stand out from other debt management apps on the market. The application aims to make the process of settling debts more efficient and easier to manage, giving users better control over their financial situation.

The CV generator and vacancy recommendation system is built using React, a JavaScript library for building user interfaces, and Node.js, a JavaScript runtime for server-side scripting. It allows users to easily create a professional and tailored CV by inputting their personal information. The application uses web scraping techniques to gather information on the latest industry standards and trends. The application uses content based filtering to recommend job vacancies that are a good match for their qualifications and experience. The system takes into account factor such as skills to make personalized recommendations for the user. The end goal of the CV Generator and Vacancy Recommendation System is to assist job seekers in creating a professional and effective CV, and finding job opportunities that align with their qualifications and experience. The system aims to streamline the job search process by providing an easy-to-use platform for creating CVs and personalized job recommendations. The use of web scraping techniques and allows the system to gather information on the latest industry standards and trends, and make accurate and relevant job recommendations. The goal is to improve the match between job seekers and job opportunities, and increase the chances of finding a suitable job for the users.

Facial Expression conveys non-verbal cues, which plays an important roles in interpersonal relations. The Facial Expression Recognition system is the process of identifying the emotional state of a person. In this system captured image is compared with the trained dataset available in database and then emotional state of the image will be displayed. This system is based on image processing and machine learning. For designing a robust facial feature descriptor, we apply the Local Binary Pattern. Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. The histogram will be formed by using the operator label of LBP. The recognition performance of the proposed method will be evaluated by using the trained database with the help of Support Vector Machine. Experimental results with prototypic expressions show the superiority of the LBP descriptor against some well known appearance-based feature representation methods.

This report presents a decentralized voting system built on Web3 technology. The main problem that the system addresses is the need for a secure, transparent, and tamper-proof way to conduct voting. The system utilizes smart contracts and blockchain technology to ensure that the voting process is transparent and that the results cannot be tampered with. Additionally, it allows for anonymity of voters and allows for easy management of voting, including creating and managing voting polls, adding voters, and viewing results. The system has a user-friendly and simple interface, which makes it easy to navigate and understand. Overall, the project aims to provide a secure and transparent way to conduct voting, giving users confidence in the integrity of the process and the results. In summary, this report describes a decentralized voting system that utilizes smart contracts and blockchain technology to provide a secure, transparent and tamperproof way of conducting voting, with a user-friendly and convenient platform for managing voting polls and results, making it stand out from other traditional voting methods. The system aims to give users confidence in the integrity of the voting process and results.

An online real estate portal is a digital platform that deals with buying, selling and renting of properties especially house and apartment. The website targets two types of user(buyer and seller).Seller is able to post their properties for both selling and renting. Buyer is able to view the post and contact the owner. They can also comment on the desired post. Admin can view the number of users and property details in the system, can also filter/delete that are not genuine.

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“Online Private Tutor Finding System” is a web application that connects students with qualified tutors for personalized, one-on-one tutoring sessions. The system aims to provide a convenient and effective way for students to receive high-quality tutoring from the comfort of their own homes, while also making online tutoring more accessible and affordable. The system allows students to search for tutors by subject and schedule sessions at their convenience. Tutors can create profiles, set their availability, and subject specialties. Overall, “Online Private Tutor Finding System” aims to improve the learning outcomes of students by offering tailored and targeted tutoring sessions and enhancing the engagement and motivation of students through interactive and personalized learning experiences. The system also aims to support the education sector in Nepal by providing a solution to the challenges posed by the COVID-19 pandemic and promoting the use of online platforms for remote learning

Recommendation systems are increasingly being used to help users navigate the vast amount of information available on the internet. Book recommendation systems, in particular, can help readers find new books and authors that they are likely to enjoy. This paper presents a content-based book recommendation system that uses ratings data to generate personalized recommendations for users. The system utilizes a machine learning algorithm to compare the characteristics of the books that the user has liked to the characteristics of other books, in order to find similar books to recommend. The results of the evaluation demonstrate that the system is effective at providing relevant recommendations to users and improving the overall user experience. By incorporating ratings data, the system is able to provide more personalized recommendations and help users discover new books that align with their interests.

The increasing demand for on-demand transportation services has led to the development of various car sharing applications. These apps allow individuals to easily request and pay for rides from nearby drivers using their smartphones. However, the process of matching passengers with drivers can be complex and time-consuming, leading to delays and dissatisfaction for both parties. This project propose the development of a car sharing application that utilizes innovative algorithms and technologies to optimize the matching process. By improving the efficiency and reliability of the app, we aim to provide a better experience for both passengers and drivers and contribute to the growing market of on-demand transportation services. This project propose the development of a car sharing application that utilizes the KNearest Neighbors (KNN) algorithm and Google Maps API to match passengers with drivers in real-time and provide accurate routing information. The app, built using React-Native, will allow users to request rides and track the progress of their trip. The KNN algorithm will be used to identify the most suitable driver based on the user's location, destination, and other factors such as availability. By implementing these intelligent technologies, the app aims to provide a more efficient and personalized service for both passengers and drivers. Overall, the goal of the project is to create a reliable and user-friendly car sharing application.

This project promotes an approach for Human Computer Interaction (HCI) where cursor movement can be controlled using a real-time camera, it is an alternative to the current methods including manual input of buttons or changing the position of physical computer mouse. It helps in better utilizations of the camera and helps in cost reduction as the hardware cost can be reduced. This will also help in making the laptop cameras better quality and proper utilization of the cameras. The virtual mouse program will constantly acquire real-time images where images will be undergone through a series of filtration and conversion. We will first detect the hand landmarks and then track and click based on these points. We will also apply smoothing techniques to make it more usable. This program is more applicable now a day’s due to the pandemic. We can’t afford to touch the computer screen or press the buttons as it can spread the virus thus, this program is a good solution considering the situation. Hand gestures are responsible for performing all the function that a physical computer mouse performs. We propose a gesture-based interface where users interact with a computer using fingertip detection in RGB inputs. Finally, to control the mouse cursor based on a virtual screen, the fingertip location is mapped to RGB images.

In this 2D platformer game, players control a character as they navigate through various levels, overcoming obstacles and enemies to reach the end goal. The game is developed using Unity and C# scripting, with simple but immersive graphics and sound effects to enhance the gameplay experience. The character is equipped with unique weapons and power-ups to aid in their journey, and the levels increase in difficulty as the player progresses through the game. One particularly formidable enemy uses the A* pathfinding algorithm to always track the player, making it a formidable and persistent threat. With intuitive controls and challenging gameplay, this platformer game is sure to provide hours of entertainment for players of all skill levels.

Self-driving cars are a popular topic in the field of artificial intelligence and autonomous systems. Self-driving cars have the potential to significantly improve transportation, by increasing safety, efficiency, and convenience. In addition, self-driving cars could make transportation more accessible for people who are unable to drive, such as the elderly or people with disabilities. One approach to designing and implementing a self-driving car is to use neural networks and genetic algorithms. In this project, the use of neural networks and genetic algorithms for self-driving cars is explored, and the effectiveness of this approach through simulations and experiments are demonstrated. By using neural networks to process sensor data and make decisions, and by using genetic algorithms to optimize the weights and biases of the network, it may be possible to improve the overall performance of the self-driving car. Self-driving cars are a technology with the potential to significantly improve transportation and mobility for people around the world. Some potential applications and areas where this technology could be useful include: Personal transportation, Public Transportation, Delivery Services, Ride-sharing. Overall, the potential applications of self-driving cars are wide-ranging and diverse, and will likely continue to evolve as the technology develops and becomes more widespread.

The aim of this project is to develop an online crime reporting and management system which is easily accessible to the public, the police department and the administrative department. The normal public in Nepal is afraid to lodge a complaint because they are filled with a false fear about the police department. An online complaint registering system will allay the fears of the public and will also help in the public helping the police department in catching criminals. The other features of this online solution are enquiry about a complaint which has been registered before, the status of the complaint and other information. Keeping records of all the criminals will help the police department in keeping tabs on the criminals to refrain them from getting into illegal activities. On the whole, the online crime registering and maintenance solution is an excellent method, which bridges the gap between the public and the police department and also helps the police department in preventing criminal activities.

The project Shortest Route Calculation is supposed to help users to obtain the shortest route to a destination with minimized traffic conditions. For doing this, TomTom maps API is used which gives the real time traffic scenarios of the selected area making it easier for the user to navigate through the traffic as well as to get the shortest way to their destination. The routing algorithm used in calculating the shortest route to a destination combines the historical and real-time traffic data to determine the quickest route between two or more locations. The algorithm considers factors such as speed limits, road types, and traffic congestion to calculate the route with the least amount of time. This calculation can also include user preferences such as avoiding toll roads, ferries, and motorways. The resulting route is then displayed on a map and can be navigated using turn-by-turn directions. TomTom provides a routing optimization feature that allows users to optimize routes for many destinations, considering time windows, vehicle types, and other constraints. This feature is particularly useful for fleet management and transportation logistics. Overall, TomTom's routing algorithm and APIs provide a reliable and efficient way to calculate the shortest route between multiple locations, considering real-time traffic conditions and user preferences.

The project report on Restaurant Management System focuses on the development of an automated system to manage the daily operations of a restaurant. The system has been designed to improve efficiency and productivity, reduce manual effort and errors, and enhance customer experience. The report includes an overview of the restaurant industry and its challenges, a comprehensive analysis of the requirements and the design of the system, and an evaluation of its performance and impact on the restaurant's business. The system includes functionalities such as menu management, table reservation, order placement, and payment processing. The system has been tested and evaluated to ensure its reliability and user-friendliness. The report concludes that the Restaurant Management System has proven to be a valuable asset to the restaurant, improving its overall operations and competitiveness.

Tourism is an important asset of Nepalese economy. To facilitate the growing number of tourists visiting Nepal every year with necessary information and assist them during their visit, the authors have come up with an idea to make the process easier. The main idea behind this project is to gather all the necessary information under the same roof i.e. in a single application. This application is supposed to help tourists have a better experience. The application provides different tour package for tourists. The app features tour packages which contains complete information like itinerary, things to do, etc. This application provides useful and relevant information to tourists regarding the particular place they are visiting. Some of such information may include a description of the very place. The application would help the user to book the packages and travel to their destination. Along with information, the application would also include the capability of organizing tours of various places. A route, similar to a travel itinerary, would involve a set of places arranged in a sequence for the tourists to travel in a specified time. The users would also be able to share their feedback.

Medical Appointment System provides the benefits of streamlined operations, enhanced administration & control, superior patient care, strict cost control, and improved profitability. Medical Appointment System is powerful, flexible, and easy to use and is designed and developed to deliver real conceivable benefits to hospitals. More importantly, it is backed by reliable and dependable support.The project ‘Medical Appointment System’ is based on data object-oriented and networking techniques. As there are many areas where we keep the records in the database for which we are using MY SQL software which is one of the best and the easiest software to keep our information. This project uses core PHP and has connectivity with MY SQL.Medical Appointment System is custom-built to meet the specific requirement of the hospitals. All the required modules and features have been particularly built to just fit your requirement. The entire application is web-based and built on 3 tier architecture using the latest technologies. The sound database of the application makes it more users friendly and expandable. The package is highly customizable and can be modified as per the needs and requirements of our clients. The prolonged study of the functionalities of the hospital and its specific requirement has given it a wonderful shape both technically and usability-wise. It covers all the required modules right from Patient Registration, Patient Login, Doctor Login, Admin, Patient appointment, Billing payment, Patient Feedback, Prescription and Doctor Fees, etc

Web3.0 is the next generation of the internet, characterized by the integration of blockchain technology and decentralized systems. A transaction processing system in this context refers to the infrastructure that facilitates the execution and validation of transactions on a blockchain network.This paper presents a novel transaction processing system for Web3.0 that utilizes sharding, a technique for horizontally partitioning data across multiple nodes, to improve scalability and reduce the burden on individual nodes. Additionally, the system employs a consensus mechanism based on proof of stake, which allows for faster and more efficient validation of transactions. The proposed system has been tested on a simulated network and has shown to be able to process a significantly higher number of transactions per second compared to existing systems while maintaining a high level of security and decentralization.Overall, the proposed web3.0 transaction processing system offers an improved scalability, security, and decentralization that enables the Web3.0 to process a significantly higher number of transactions per second.

Blood donor search applications are online platforms or mobile apps that allow individuals in need of a blood transfusion to locate and connect with potential donors in their area. The main purpose of a blood donor search application is to connect individuals in need of blood with individuals who are willing and able to donate blood. This can be especially useful in emergency situations where time is the essence, and it is important to quickly locate a suitable donor. The Haversine algorithm can be used to calculate the distance between the location of an individual in need of a blood transfusion and the location of potential donors. This information can then be used to identify the nearest potential blood donors and connect them with the individual in need. Cloud-based services can prove to be important in emergency blood delivery since they enable central and immediate access to donors’ data and location from anywhere. React Native is used to build user interface and handle the user interactions, Firebase is used to store information about blood donors and for cloud messaging, Express and Node.js are used in conjunction to build the backend server and API and Google Maps API is used to display maps and location information.

“Disease Prediction System” predicts the disease of the user on the basis of the symptoms granted by the user as an input to the system. The symptoms which are provided by the user as input are analyzed by the system. After the symptoms are provided by the user, the system gives the probable disease as an output. The goal of this system is to implement machine learning algorithm that analyzes the symptoms to predict the probable disease. There are many machine learning algorithms such as K-Nearest Neighbour (KNN), Random Forests, and Support Vector Machine (SVM) and many more. Amongst all, Random Forests is being used for the prediction of disease as to produce the best result. Moreover, instead of directly performing treatment for the patient, if the disease is predicted beforehand using certain machine learning algorithms then, the entire process of treatment can surely be made much more efficient. As it is said “Prevention is better than cure”, the right prediction of disease would definitely lead to an early prevention of that particular disease

"This project presents the design and development process of a 2-dimensioanl multilevel gaming application using the Unity game engine. The game is set in a 2D world and features engaging gameplay with a variety of obstacles and enemy types. The player must navigate and advance clearing obstacles and defeating enemies. The development process was challenging at times, as working in 2D presented some unique challenges and limitations. However, Unity's robust set of tools and features allowed for the creation of visually appealing environments and characters, and the use of C# scripting facilitated the creation of custom gameplay mechanics. The game was tested with a small group of players to evaluate its performance and player engagement. Feedback was generally positive, with players praising the engaging gameplay and variety of weapons and enemies. Overall, this project successfully demonstrated the feasibility of creating a high-quality 2D platform game using Unity. However, there is still room for improvement and future development, and the recommendations included in this report aim to address some of the areas for improvement identified during the testing phase."

People travel frequently for pleasure, social, or commercial purposes, both domestically and internationally. Vehicles are not always easily available for these individuals. Searching for rental company is not an easy task. People have to move from place to place to finda car which they desire. This project is designed to enable renting of cars to the people through anonline system. It helps users to view and book cars for specified period of time. The challenge of obtaining suitable vehicles online rather than physically going from place to placeis analyzed in depth. It also makes users jobs easier by bringing the system online.

Cafeteria has invariably served as the primary means of getting food within an organization’s premises. However, it is observed that most college students do not prefer to utilize this service. We believe that overcrowding around the canteen area and the resulting tedious and long queues are the predominant predicament deferring customers away from the cafeteria. In the age of technology, online food delivery has emerged as the new global trend, generating more than $150 billion. This technology is starting to become the new norm of how consumers get their food. Even the Nepali market has showed substantial interest in this market, and is expected to show an annual growth rate (CAGR 2022-2027) of 13.68%. Since there is a clear growing interest in the online food delivery service and cafeterias have a major issue in only being able to serve in-house customers and thereby cause crowding, there is a demand for a system that allows the users to order food and receive them in their desired venue without having to physically visit the canteen. Online Canteen System project fulfils that very role and provide a platform to allow users to select their food from an interactive menu and deliver them to the user’s specification while also accommodate a more efficient payment system. Users can login to the system through their college ID and pay for their purchase by loading credit onto their account to allow for a cashless and stress-free meal from the cafeteria.

A Result management system that is designed for single administrator and allows students to only view and print their results is a simple and secure solution for managing student performance. The system allows the administrator to input, store, and retrieve student grades, as well as to generate reports and statistics. The system is designed to be user-friendly for the administrator, allowing for easy data entry and management of student results. The administrator can input student grades directly into the system, which can automatically calculate and store the information. This eliminates the possibility of errors due to manual data entry and ensures that the data is accurate and up-to-date. Student can access their own result by using Roll ID and view their grades, as well as print their results for their own records. This feature can be useful for students who want to keep track of their own progress or for parents who want to see their child's grades.

This project is a vehicle speed detection and tracking system that utilizes the OpenCV library and Python programming language. The system captures video from a camera and uses object detection techniques to track vehicles in the video stream. The system then calculates the speed of the vehicles by measuring the time it takes for the vehicles to pass through two predetermined points. The system also saves data such as the speed, ID, and an image of the vehicle when it is detected. Additionally, the system is able to differentiate between vehicles that are above the speed limit and those that are not. The system also saves all the data to a specified folder.

In this project, a system for automated currency recognition using image processing techniques has been proposed The method can be used for recognizing country as well as value of a given banknote. Only paper currencies have been considered in this project. This project aims to recognize the currency of countries using characteristics such as size, color,or text on the note, depending on how much the notes within the same country differ. This paper proposes an automatic paper currency system for paper currency system for paper currency

This project is a face recognition attendance system that utilizes the Tkinter library in Python for creating a graphical user interface, the face_recognition library for detecting and encoding faces, and the OpenCV library for accessing the computer's camera and processing images. The system has a dashboard with four buttons: entry, exit, attendance, and register. The entry button captures an image from the camera and records the entry time of a student if their face is recognized in a database of registered students. The exit button performs a similar task but records the exit time. The attendance button generates a report based on the recorded entry and exit times. The register button allows new students to be added to the database by capturing their image and prompting for their name.

Most of the people in this world like to travel from one place to another no matter whether it is a small or large distance. The need for a tourism management system that can manage tourism information with ease is sought after by every tour management company. Tour Management system is a dynamic website for tourism business. This travel and tourism application is designed for travel agencies by which they can manage different tour packages based on the destinations. By using this, the tour company can tailor tour packages spanning various destinations at almost every price point. The also implemented search module allows the administrator to find and update or upgrade the tour packages with ease. This module can also even be extended to a customer application page by which customers can find the right tour package for them at every budget, depending on the tour locations. The main purpose is to help tourism companies to manage tour packages. The system can also be used for both professional and business trips. The proposed system maintains a centralized repository to make necessary travel arrangements and to retrieve information easily