AAI Start Up Programme

Empowering Students to become  Product Developers 

About the Programme

         AAI Lab is a research platform  for exploring the potential of students with Internet of Things for multidisciplinary research with more end-user interactions. It gives the power to the students to be at the core of the research and innovation process. It gives them the power to change the world and their future. AAI lab is equipped with  micro controllers, RFID tags, different types of sensors. In the lab we have a  3D printer to develop multi disciplinary products. We have AVR software to engaged in the design and development of advanced human-machine interfaces for students. We will cultivate the spirt of technology based agriculture among the students  with the help of farm bot deployed in our center. By using this lab, students could develop IoT proof of concepts, learn embedded programming and create their own prototypes. 

      IoT Lab transforms  ideas of the student into customized solutions for the problems of the society. Also we will encourage students to participate in many competitions.

Vision

Our vision is to help accelerate our student to adapt smart, innovative technologies along with AI, resulting in economic and social benefit. 

Mission

    The AAI Startup programme will act as a catalyst to accelerate the efforts of the students/staff growth in product development . This programme will provide the necessary support to innovate and create new products leveraging technology to solve real life problems. It is an interoperable, multi-technology-based stack which will provide design prototype equipment’s, validation, testing space, demo space and concept labs.

Thrust Areas

I. Farm Bot

Farm automation, often associated with smart farming. It is a robot to farm the different crops in particular area.  The robot itself moves around using tracks on the sides of the box, and it works in three dimensions. So it can go left to right, forward and backwards, up and down. FarmBot sows seeds, waters plants and gets rid of weeds by using different tools for each job, depending on the task at hand. It monitors the plant 24*7. In our centre we will deploy the farmbot in order to cultivate the spirit of agriculture among the students. We will use drones to fertilize the plants. With the help of captured pictures from the drone, can implement Image Processing  applications for further research work.


Farm bot image

II. Augmented Reality (AR)

Augmented reality (AR) is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. Primary goals of AR is to highlight specific features of the physical world, increase understanding of those features, and derive smart and accessible insight that can be applied to real-world application.


Augmented reality image

III. University Automation

A university automation system will monitor and  control  attributes such as light, climate, entertainment systems and appliances. It may also include centre's security  system such as access control and alarm systems with the help of IoT.

Renewable Energy - Solar Energy image

IV. Renewable Energy - Solar Energy

A renewable energy source means energy that is sustainable. Similar to sun, Solar Power is main source of renewable source. Solar power is energy from the sun that is converted into thermal or electrical energy.  Solar technologies can harness this energy for a variety of uses, including generating electricity for our center. We will deploy a Solar cell which can drive upto 1000 Kilowatts in our university. The energy driven from the solar cells can be used instead of electricity. This will predominantly save electricity consumption.

University automation

Patent

 Application No:202241021066 

Month &Year: May 2022

Completed Projects-PhD/PG

1. AI based Environmental Monitoring System for Mushroom Cultivation 

E.Gaayathri Devi

Culture Room at CMLI

The Team Visit at Culture Room

Experimental Study in Culture Room

2. AI based Nutrient Analyzer for Milk Samples using Triad Spectroscopy Sensor

R.Krithika

Methodology of the Work

Experimental work

  3.Prediction of E-Coli Bacteria in Food Samples using Raspberry Pi

R. Ramya

Bacterial Detection Box

Detection Kit

Detection of E-coli using Raspberry PI

4.Edible Teether Using 3D Printer 

 T.Pradeepa

S.Rubi

G.Shampavi

L.Pooja

Designing Teether

Process of Printing in FlashForge Finder

3D Printed Teether

5.Non Invasive Glucose Measurement Using Max30100 sensor

Ms.Dhivyasri

Circuit Diagram

Integration of Components 

Calculating Glucose value

6.Development of Android App for IoT based Health Care Monitoring System

Gayathre, I MCA

1. Plant monitoring System

UG Projects -2022-2023

1.SMART GRID MONITORING MOBILE APPLICATION FOR SOLAR PANEL DEPLOYED AT OUR UNIVERSITY

R.MALINI

G.VINANYA

G.KAVIYA

2.WEB PORTAL FOR MONITORING GREEN ENERGY PRODUCTION IN THE DEPLOYED SOLAR PANELS AT OUR UNIVERSITY

V.KEERTHIKA

S.SAFA FATHIMA

R.SAGARISHA

P.VAISHALI

3.3D PRINTED ROBOTIC ARM TO SEGREGATE BIO DEGRADABLE AND NON-BIODEGRADABLE WASTE

.J.Nandhana

R.Kannika

R.Poornima     Srinidhi

S.Anupriya

4.SENSOR-BASED DIAGNOSTIC DEVICE FOR CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD)


S.Lohitha

S.Ambikavathi

Circuit Diagram

UG Projects 2021-2022

1. Raspberry Pi based Emotion Detection

C. Sumithra

R. Dharshini

V.Haripriya 

Overall Integration of Components

Tested in Google Meet

Framework of the Project

2.AI based Soil Nutrient Monitoring and Analyzing

R. Prathoshisa

P. Dharsana 

R. Ramyashree

Hardware Integration

Analysis of Rose Plant 

3. Web Based Child Rescue System from Borewell 

Hardware Connection of Components

Home Page of Website 

Emergency Alert Notification in the Website

G. Yasini Devi

S.Sarmila

K. Ranjitha

B.Sarulatha

PG Projects 2022-2023

Integrated Self Diagnostic Non-Invasive Health Monitoring Device

Elephant Detection in Digital Image using Raspberry-Pi

A.HemaPriya

Hardware Intergration 

Outcome of the Experiment 

PG Projects 2021-2022

AI-IoT Enabled Mosquito Based Diseases Identification System

Gayathre, I MCA

Methodology of  IoT Phase

Methodology of ML Phase

Findings of the Mosquito Species

Awards/Recognition 

Events Organized

Activities

Staff Profile

Programme Coordinator: 

  Dr.M.Krishnaveni,

                 Faculty in-charge - AI Start-up Programme

Assistant Professor, Department of Computer Science,

krishnaveni_cs@avinuty.ac.in

Mobile Number :- 9442571571


Technical Staff:

      Ms. V. Narmadha 

Technical Assistant, DST-CURIE-AI Phase - II (G)

narmadha_cs@avinuty.ac.in