Counselling Code: 2734
department of computer science and engineering
student development ACTIVitiES
Various number of student development activities are constantly being practiced in each classroom, enforced by our Center of Learning and Teaching.
Case Study
Group Discussion
Activity Based Learning
chart presentation
chart presentation1
peer grp
Role Play
think pair
Project Title: Automated Robotic Floor Sanitizing Machine
Objective:
To develop an automated robotic system capable of effectively sanitizing floor surfaces, ensuring high hygiene standards in various environments such as hospitals, schools, offices, and public spaces.
Description:
The Automated Robotic Floor Sanitizing Machine is designed to autonomously clean and disinfect floors using advanced robotics and sanitizing technologies. The system incorporates sensors, navigation algorithms, and disinfectant dispensing mechanisms to provide comprehensive and efficient floor sanitation. Key features include:
- Autonomous Navigation: Equipped with LiDAR, cameras, and ultrasonic sensors to navigate and map the environment, avoiding obstacles and ensuring complete coverage.
- Disinfection Technology: Utilizes a combination of UV-C light and liquid disinfectants to eliminate bacteria, viruses, and other pathogens.
- User-Friendly Interface: Includes a control panel and mobile app for easy programming, monitoring, and maintenance.
- Rechargeable Battery System: Ensures long operational hours with the ability to return to a charging station when needed.
Outcomes:
1. Enhanced Hygiene: Significant reduction in microbial load on floor surfaces, contributing to healthier environments.
2. Operational Efficiency: Decreased need for manual labor in floor cleaning, freeing up staff for other critical tasks.
3. Cost Savings: Reduced long-term costs associated with manual cleaning and maintenance.
4. Scalability: Adaptable design that can be scaled for various sizes and types of facilities.
5. Innovation in Sanitation: Pioneering use of robotics in the sanitation industry, paving the way for further advancements and applications.
DROWSINESS DETECTORS BASED ON IOT
The objective of "Drowsiness Detectors Based on IoT" is to develop and implement systems that can detect and mitigate drowsiness among individuals, particularly in contexts where alertness is crucial for safety and performance.
Descriptive:
Drowsiness detectors utilize Internet of Things (IoT) technology to monitor physiological and behavioral indicators of drowsiness in real-time. These indicators may include eye movements, facial expressions, head position, and even physiological signals like heart rate variability. The IoT aspect allows for continuous monitoring and data collection, enabling timely alerts and interventions when signs of drowsiness are detected.
The system typically involves sensors placed in vehicles (like cars, trucks, or even aircraft), workplaces (such as control rooms or manufacturing environments), and other settings where drowsiness can pose significant risks. These sensors gather data, which is processed using machine learning algorithms to identify patterns indicative of drowsiness. Alerts can then be generated to notify the individual at risk and/or relevant personnel, prompting actions such as breaks, alarms, or adjustments in work conditions.
Outcome:
The outcome of implementing drowsiness detectors based on IoT is expected to enhance safety, productivity, and well-being in various sectors. By proactively identifying and addressing drowsiness, the system aims to reduce the occurrence of accidents caused by impaired alertness. Additionally, it can contribute to improving overall efficiency and performance in environments where vigilance is critical, thereby promoting a safer and more productive working environment.
FOUR -WHEELER ACCIDENT RESCUE ALERT SYSTEM
To develop a reliable and efficient system that automatically alerts emergency services and relevant authorities about four-wheeler accidents, ensuring rapid response and assistance to accident victims.
Description of the Process:
Accident Detection:
Sensors and Detectors: Install sensors and detectors in vehicles that can detect signs of a crash or impact. These sensors could include accelerometers, GPS, gyroscope, and vehicle diagnostics.
Onboard System: Integrate an onboard computing system capable of analyzing sensor data to determine if an accident has occurred. This system should differentiate between normal driving incidents and actual accidents.
Alert Generation:
Triggering Mechanism: Once an accident is detected, the system triggers an alert. This can be automated based on predefined criteria (e.g., sudden deceleration, airbag deployment).
Data Collection: Gather essential data such as location (GPS coordinates), vehicle identification, and severity of the impact (if possible).
Communication:
Emergency Services Notification: Immediately notify emergency services (like ambulance, police, and fire department) through established communication channels. This notification should include precise location details to expedite response.
Remote Alert: Simultaneously alert nearby vehicles or other drivers in the vicinity to exercise caution and potentially provide assistance if safe to do so.
Outcomes
Overall, the outcome of implementing a four-wheeler accident rescue alert system is a safer and more responsive environment for both drivers and passengers on the road. It represents a proactive approach to leveraging technology for public safety and emergency preparedness, ultimately saving lives and reducing the impact of road accidents.
Class room
demo models
industrial
case study
Naturally, students are more inductive than deductive, they learn better from examples than from logic. So, we believe that the use of case studies is a very effective classroom technique. Students will be provided with an industrial case study linked with the concept or subject, where they got to explore how their learning are applied in the real world situations. This helps the students to actively engage in figuring out the principles from the examples.
Industry case studies
students'
mini projects
Online Resume Builder
Objective:
The objective of an online resume builder is to provide individuals with a user-friendly platform to create professional resumes quickly and efficiently. This tool aims to simplify the resume writing process, making it accessible to job seekers of all backgrounds and skill levels.
Description
An online resume builder is a web-based application designed to guide users through the process of crafting a resume. It typically offers templates, prompts, and examples to help users structure their resumes effectively. Key features often include:
Template Selection: Users can choose from a variety of pre-designed templates that suit different industries and job roles. These templates ensure that resumes are visually appealing and professionally formatted.
Guided Input: The builder prompts users to input relevant information such as contact details, work experience, education, skills, and achievements. It may provide suggestions or examples for each section to help users highlight their strengths effectively.
Outcomes
The outcome of using an online resume builder is to produce polished resumes that effectively showcase an individual's qualifications and experiences to potential employers.
Face Recognition based Music Player Project
Objective:
The objective of the facial recognition-based music player project is to create a system that allows users to interact with music playback using facial recognition technology.
Description
The project involves developing a system that utilizes facial recognition algorithms to identify users and respond to specific commands related to music playback. Initially, the system will be trained to recognize predefined facial features or patterns unique to each user. Once a user is identified, the system can access a personalized music library associated with that user.
The facial recognition process involves capturing real-time images of the user's face using a camera. These images are processed to extract facial features, which are then compared with stored data to authenticate the user's identity. Upon successful identification, the system retrieves the user's music preferences from a database or cloud storage. Commands for controlling music playback can be executed through gestures or facial expressions recognized by the system.
Outcomes:
The expected outcome of the project is a functional prototype of a facial recognition-based music player that demonstrates reliable identification of users and seamless control of music playback through facial gestures.
Project Title: Home Automation using Internet of Things
Objective:
To develop a home automation system to transform living space into a network of interconnected devices and to allow us to remotely control them and automate tasks for a more convenient, secure, and efficient home.
Description:
An IoT-based home automation system transforms your living space into a connected network. Everyday devices, like lights, thermostats, and appliances, become smart – equipped with sensors and actuators. Sensors collect data about their environment (temperature, motion, light levels), while actuators respond to this data or your commands (turning on lights, adjusting thermostats).
1. Smart Devices: These are the stars of the show. They gather information and take action based on pre-programmed rules or your control.
2. Central Hub : This acts as the brain, connecting all your devices and allowing them to communicate seamlessly. Your smartphone can sometimes act as this hub too!
3. Mobile App : This is your command center. Use it to control devices, monitor their status, and create automated routines.
4. Automation Rules: Set the magic in motion! Program your devices to react to sensor data or schedules. Lights can dim at sunset, or the thermostat adjusts when you leave.
Outcomes:
1. Convenience: Control your home from anywhere using your smartphone.
2. Energy Efficiency: Automate tasks to save energy, like adjusting lights or thermostats.
3. Security: Monitor your home remotely, receive alerts, and control door locks.
4. Comfort: Personalize your environment with automated lighting, temperature control, or music.
5. Remote Monitoring: Keep an eye on your home, check air quality, or even look after pets while you're away.
College Management System Using Django
Objective
To develop a comprehensive college management system using Django, aimed at streamlining administrative tasks, enhancing communication, and improving overall efficiency within the institution.
Description
The College Management System (CMS) will be a web-based application developed using the Django framework. It will facilitate the management of various college activities and resources. The system will include modules for student enrollment, faculty management, course scheduling, attendance tracking, grading, and communication between students, faculty, and administration. Key features include:
User Authentication and Authorization:
Different access levels for students, faculty, and administrators.
Secure login and registration system.
Student Management:
Enrollment and registration of students.
Profile management (personal details, academic records).
Attendance tracking.
Course Management:
Creation and management of courses and subjects.
Timetable scheduling.
Course materials and resources upload.
Grading System:
Assignment and exam management.
Grade entry and report generation.
Performance tracking and analytics.
Outcomes
Upon completion, the College Management System will provide a unified platform to manage all aspects of college administration efficiently.