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Microsoft Project and Microsoft Teams, the power of two Use Project and Teams to empower collaboration and management of projects, including file sharing, chats, meetings, and more. Get started using Project See plans and pricing. On Tech Community. This project involves the development of an Android application for viewing and managing patient data. The app is designed to help doctors to see the medical history of their patients.
Doctors can also continually upgrade the system by entering the latest medical data of their patients. This app can be installed on any Android device. Doctors can log in the app from their Android smartphones and enter relevant information about their patients, including patient name, disease history, medication administered, date of arrival, and consultation and treatment costs, among other things.
Once the information is saved on the system, it will be stored for the perusal of doctors for their future cases. So, if a patient comes for a follow-up routine, doctors can immediately check up on their medical history and provide the necessary medical treatments. This is one of the popular projects for final year project ideas for IT students. Also read: Python Project Ideas for Beginners. This web application uses opinion mining methodology for improved decision making and enhancing customer experience.
The application collects and analyzes the comments and feedback on different users on social networking platforms Facebook, Instagram, Twitter, etc. Similar to the sentiment analysis system, this application, too, has a database containing sentiment-based keywords with positivity or negativity weight.
So, it analyzes the keywords mined from the user comments against the keywords stored in the database. Accordingly, the comments are ranked as good, bad, and worst reviews based on their positive or negative weight.
The Admin updates the database with new and relevant keywords. Users can log in to the application to view their status. They can also view the topics and comments posted by other users. By clicking on a particular topic or comment, users can provide their take on the matter. This automated payroll system doubles up as a web and Android application — while the user will use the Android interface, the Admin usually the HR will use the web interface.
The application works something like this — each employee is given an employee ID and password for accessing the app from their Android device. When an employee logs into the system from an Android device and immediately, the user image is captured. Then, the system sends the user image and their GPS location to the Admin. As long as the user stays logged into the system via an Android device, the GPS location will continue to be automatically updated and forwarded to the Admin every five minutes.
When the user logs out, their image and GPS location are again sent to the Admin. This application allows Admins to keep track of employee attendance and payroll. The Admin creates employee profiles for each employee by entering all the relevant personal information name, job position, qualification, etc. They can also check the salary details and breakdown of the salary of each employee by entering the employee ID and date.
Since the application is GPS-enabled, no employee can add proxy attendance. This enables the HRs to keep an accurate record of working days of individual employees and tweak their payroll accordingly. The primary task of data leakage detection systems is to detect data leakage and discover the sources for the same.
This is why it is crucial to trace the source of data leakage so that you can nip the problem in the bud. An advanced data leakage detection system can prevent data from leaking out of its original source. This project exclusively focuses on designing an improved data leakage detection system. The proposition here is to identify data leakages by storing data as per agents. It can promptly trace any possible sources of unauthorized leakage by leveraging a data allocation strategy across various agents.
The data leakage detection system uses these alterations to identify the source of leaked data immediately when it is found in any unauthorized places or systems. Credit card fraud is a significant threat in the BFSI sector.
This credit card fraud detection system studies and analyzes user behavior patterns and uses location scanning techniques to identify any unusual patterns. One of The user patterns includes important user behavior like spending habits, usage patterns, etc. The system uses geographic location for identity verification.
In case it detects any unusual pattern, the user will be required to undergo the verification process again. The fraud detection system stores the past transaction data of each user.
Based on this data, it calculates the standard user behavior patterns for individual users, and any deviation from those normal patterns becomes a trigger for the system.
In the instance of any unusual activity, the system will not only raise alerts, but it will also block the user after three invalid attempts. As the name suggests, the AI multi-agent shopping system is a shopping assistant, more like a recommendation engine. First, the system is fed with the details of a wide range of products. When a user registers in the system and searches for a specific product, the system returns the result of the most relevant items that match the search keywords entered by the user.
Since the system is designed to study the search patterns of the user and based on the previous search and purchase history, it will also provide a curated suggestion of a list of items that are a close match to the searched item. The AI shopping system allows users to register and log in using an ID and password. After logging in, users can search for products online, perform a custom search across various product categories, add items to cart, and choose the preferred payment option.
Read more: Artificial Intelligence Applications. This camera motion sensor system can detect motion even the slightest ones and trigger an alarm. It uses a motion detector algorithm for detecting movements. The camera continually monitors the surrounding environment, records images of any movements in real-time, and sets triggers for unusual activities in the vicinity. To activate the system, the user must set a security code.
Once it gets activated, it immediately starts monitoring the surroundings. If the alarm sets off on detecting any movement, the user must deactivate the alarm by re-entering the security code.
This is a bug tracking application that helps identify and track bugs in projects or systems. Building Big Data solutions for business on a daily basis, we know how important is not only the code, but the very process of cooperation with the business stakeholders and in order to maximize the profits of the project. In addition to the solutions presented above, GetInData also provides a wide range of Big Data-related services. Regardless of whether you need extensive Big data analytics , building a Big Data infrastructure, a business approach to data processing, or help with issues related to Data Science or Data Engineering, we got you covered.
Our specialized teams will provide the highest quality Big Data solutions. We also conduct Big Data training for your teams, thanks to which you can improve your productivity! Our clients trusted us not only because we are an experienced Big Data company, but also because we select the most optimal Big Data solutions for their case and understand the business specificity of the projects entrusted to us. Thanks to close cooperation with the client, we help him turn his data into assets. But why should we brag about ourselves - below are testimonies from clients with whom we built Big Data projects.
Big Data Tech Warsaw is an exciting one-day conference with purely technical content in the fields of Big Data analysis, scalability, storage and search. In the agenda you will find practical and technical presentations given by true practitioners who work at top data-driven companies. They will share their recommendations, tools, models, successes and failures.
Our agenda is not influenced by any single large vendor. The audience — packed full of technical folk! If you are interested in how we work with clients, how we develop the project and how we take care of the smallest details, go to the Big Data for Business website. We are happy to share with you the knowledge gained through practice when building complex Big Data projects for business.
If you want to meet our specialists and listen to how they share their Big Data experiences, visit our knowledge library! Together, we will select the best Big Data solutions for your organization and build a project that will have a real impact on your organization.
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