AI for Combating COVID-19: This project explores the application of Artificial Intelligence (AI) and Deep Learning methods, including Generative Adversarial Networks (GANs), Extreme Learning Machine (ELM), and Long/Short Term Memory (LSTM), to address the global COVID-19 crisis. It proposes an integrated bioinformatics approach that harnesses structured and unstructured data to create user-friendly platforms for medical professionals and researchers, with a primary focus on expediting diagnosis and treatment processes. The research leverages the latest medical publications and reports to optimize the Artificial Neural Network-based tools, employing a variety of data inputs, including clinical information and medical imaging, to enhance practical outcomes.

• AI in Healthcare
• COVID-19 Response
• Deep Learning Applications

Today, most people rely on their vehicles for travel, but breakdowns disrupt journeys, causing wasted time and fatigue. Moto Assistant, an Android app, swiftly locates nearby mechanics, reducing search time. Users can also buy spare parts online, addressing the disorganized spare part market.

Module Description

• Android App
• Spare Parts Marketplace
• Vehicle Breakdown Assistance

User surveys have shown that a typical user has over a 100 apps on his/her smartphone but stops using many of them. We conduct a user study to identify such unused apps, which we call zombies, and show via experiments that zombie apps consume significant resources on a user’s smartphone and access his/her private information. We then design and build ZapDroid, which enables users to detect and silo zombie apps in an effective way to prevent their undesired activities. If and when the user wishes to resume using such an app, ZapDroid restores the app quickly and effectively. Our evaluations show that: (i) ZapDroid saves twice the energy from unwanted zombie app behaviors as compared to apps from the Play Store that kill background unwanted processes, and (ii) it effectively prevents zombie apps from using undesired permissions. In addition, ZapDroid is energy-efficient, consuming <;4 percent of the battery per day.

• Mobile App Privacy
• Smartphone App Management
• Zombie Apps

One of the biggest challenges in the current ticketing facility is “QUEUE” in buying our suburban railway tickets. Android Suburban Railway (ASR) ticketing is mainly to buy the suburban tickets which is the most challenging when compared to booking the long journey tickets through `M-ticket’ which fails with suburban(local travel) tickets. ASR ticket can be bought with just a smart phone application, where you can carry your suburban railway tickets in your smart phone as a QR (Quick Response) code. It uses the smart phones “GPS” facility to validate and delete your ticket automatically after a specific interval of time once the user reaches the destination. the ticket checker is provided with a checker application to search for the user’s ticket with the ticket number in the cloud database for checking purposes.

• Mobile Ticketing
• QR Code Validation
• Suburban Railway Tickets

A robot with mechanical gripper which has the capability of transporting limited sized objects from one place to another with pick-up and drop capabilities. The robot’s responses are based on speech recognition of verbal commands. It used Google speech recognition module in order to understand verbal commands. We also categorized the objects into six specific categories according to the amount of gripping force required to lift the objects. An android application was used to communicate with the robot through Bluetooth communication. The application decodes the human speech into an array of characters which are transmitted to the robot using Bluetooth technology. The robot uses microcontroller which decodes the messages into executable functions. Being a speech responsive mobile robot it can be effectively used to move objects from one place to another by people with disability or handicap.

• bluetooth communcation
• google speech
• Speech responsive robot

In most schools and universities in India, a minimum attendance requirement is present and the teacher manually records the attendance of the students present in the class. This wastes valuable time and energy. There are various ways to automate the process of taking attendance such as fingerprint recognition, identity card scanner, Bluetooth sensors, bar code readers for identity cards and so on. This paper is aimed at implementing a Bluetooth low energy based attendance management system. It uses the Bluetooth Low Energy technology of beacons which communicate with an android application. The application is used to collect the data from the sensors and store it according to the dates. This provides a way for the teacher to instantly record and analyze the attendance of all the students. Methods of avoiding proxies or false attendances have also been incorporated.

• Attendance Automation
• Bluetooth Low Energy
• Student Attendance System

In this project an android app namely Ambulance Management System has been developed. There is most common rescue service 108 which is managed through phone calls but it’s a unique idea in itself in which one can access an ambulance using an android smart phone. The request for an ambulance made by the proposed app is directly updated on an centralized main office, where 24/7 server will automatically check the request calculate coordinates and response back to the user and it’s respective nearest station. That request is in progress and from which station ambulance will come. All this process and management will handle virtually. The whole history will maintain on server side and also on user side. When task is done then status on app and sever side will be update. It develops for serving humanity in the situation of emergency by using precise and accurate results.

• Ambulance Management App
• Emergency Response
• Mobile Rescue Service

Smartphones have been widely used with a vast array of sensitive and private information stored on these devices. Current password/pattern-based user authentication schemes are vulnerable to shoulder surfing attacks and smudge attacks. In contrast, stroke/gait-based schemes are secure but inconvenient for users to input. A handy user authentication scheme for secure unlocking of a smartphone by simply shaking the phone. With embedded motion sensors, ShakeIn can effectively capture the unique and reliable biometrical features of users about how they shake. ShakeIn endows users with the maximum operation flexibility. The results show that ShakeIn achieves an average equal error rate of 1.2 percent with a small number of shakes using only 35 training samples even in the presence of shoulder-surfing attacks.

• Biometric Authentication
• Shake-Based Authentication
• Smartphone Security

Monitoring the road condition has acquired a critical significance during recent years. There are different reasons behind broadening research on this field: to start with, it will guarantee safety and comfort to different road users; second, smooth streets will cause less damage to the car. Our motivation is to create a real-time Android Application RoadSense that automatically predicts the quality of the road based on a tri-axial accelerometer and a gyroscope, show the road location trace on a geographic map using GPS, and save all recorded workout entries. Using this approach, we expect to visualize a road quality map of a selected region. Besides, road manager can benefit from this system to evaluate the state of their road network and make a checkup on road construction projects, whether they meet or not the required quality.

• Real-time Android Application
• Road Condition Monitoring
• Road Quality Prediction

The Project is aimed to provide Real Time Tracking of the Public Buses and providing estimated time of arrivals and departures to the public by a mobile app with virtual assistant based on GPS system which is inbuilt in buses. The project aims for user friendly mobile application using the data provided earlier and increase the public transport share.

• Estimated Arrival Time
• Public Transportation App
• Real-time Bus Tracking