Page 69 - B.E CSE Curriculum and Syllabus R2017 - REC

Department of CSE, REC

OUTCOMES:
On successful completion of this course, the student will be able to:
● Learn the components of mobile application development.
● Gain the knowledge of how to work with various mobile application development frameworks.
● Acquire the basic and important design concepts and issues of development of mobile applications.
● Deploy applications to the hand held devices.
● Develop the mobile applications using Internal and External databases.

LAB EQUIPMENT FOR A BATCH OF 30 STUDENTS:

Hardware: Standalone desktops with windows or Android or iOS or Equivalent Mobile Application
Development.
Software: Tools with appropriate emulators and debuggers.

CS17612 MINI PROJECT L T P C
0 0 2 1
LIST OF PROJECTS, but not limited to

1. Drunken Driving Detection with Car Ignition Locking
Drunk driving is the reason behind most of the deaths, so the Drunk Driving Detection with Car Ignition
Locking Using Raspberry Pi aims to change that with automated, transparent, non-invasive alcohol safety
check in vehicles. The system uses raspberry pi with alcohol sensors, dc motor, and LCD display circuit to
achieve this purpose. System uses alcohol sensor with, raspberry pi with dc motor to demonstrate as vehicle
engine. System constantly monitors the sensitivity of alcohol sensor for drunk driver detection. If driver is
drunk, the processor instantly stops the system ignition by stopping the motor. If alcohol sensor is not giving
high alcohol intensity signals, system lets engine run. The raspberry pi processor constantly processes the
alcohol sensor data to check drunk driving and operates a lock on the vehicle engine accordingly.

2. Camera Based Surveillance System Using Raspberry Pi
Camera Based Surveillance System Using Raspberry Pi is mainly beneficial for determining crime, it
monitors scenarios and activities, helpful for gathering evidences and detecting thefts instantly. The system is
built to monitor home, offices and detect theft as soon as it takes place. System uses Raspberry Pi with a
camera based circuit. System constantly monitors camera for motion. The camera input is constantly fed to the
pi processor. The camera input is constantly processed by Raspberry Pi processor for any motion. If any
motion is detected, the system goes into alert mode. System now sounds alarm as well as captures images of
the motion happening. These images are saved for later viewing reference. Thus the system is an efficient
camera based security system. It can be further enhanced by adding a GSM modem to send an alert sms or
alert over IoT for remote alarm.

3. Linux Based Speaking Medication Reminder Project
Medication mix-ups are extremely dangerous, to avoid this Linux based Speaking Medication Reminder can
help to prevent these life-threatening mistakes. It first allows users to enter reminder inputs. System takes
input through keyboard to accept various reminders with date and time and dosage. It then reminds patients to
take the right medication at the right time. System allows users to store their medication dates and time using
raspberry pi. Also users are allowed to enter dosage of each reminder. On set time the system gets the details
and converts text to speech. System now speaks out the medication reminder at fed time intervals. This allows
for a fully automated medication reminder system for patients.

4. Automated Door Opener with Lighting Control Using Raspberry Pi
We here propose a system that uses raspberry pi along with passive IR sensors, motors and lights to
demonstrate an automated door opening and lighting control system. Proposed system allows for automated
door opening using human detection with lighting control using raspberry pi. System detects human presence

Curriculum and Syllabus | B.E. Computer Science and Engineering | R2017 Page 69