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Projects

We at Hexart.In believe that the best way to learn Artificial Intelligence is by building intelligent systems.

Student Projects

Automated Data Extractor

Project Description: We have developed an automated search engine which extracts the data from e-commerce websites we first extracted the product links through a link extractor module. 

Team Name: Avengers

Team Members: Upender Kaveti, Katta Vishnu Teja, Deepak Varma, Geethanjali.Polisetty, MD Abdul Rab

Batch and Year: 2018-2022 Batch and 3rd year

College Name: VNR Vignana Jyothi Institute of Engineering &Technology

Tuberculosis Detection

Project Description:

The problem statement is about Tuberculosis Disease Identification. It uses the x- ray image dataset.It can be achieved through many different techniques. We are using the Deep Learning technique to identify whether a person is suffering with TB or not. Solution for this problem is very much important because it is the kind of disease which requires early attention or else it might show long- term effects and even the victim’s lives might also be in danger.We completed it in a time span of 3 weeks.

Team Name: Avengers 

Team Members: Upender Kaveti, Katta Vishnu Teja, Deepak Varma, Geethanjali.Polisetty, MD Abdul Rab 

Batch and Year: 2018-2022 Batch and 3rd year 

College Name: VNR Vignana Jyothi Institute of Engineering &Technology

Optical Character Recognition

Project description: We made a Machine Learning model using the dataset downloaded from an open-source. We adjusted the pixel resolution and size of the images and turned it to grayscale. We used Machine Learning model called Recurrent Neural Network (RNN). We used python (Google Colab) for developing the code. When the target image is given to the model, it returned output as machine editable text along with probability

Team Name: Charmers 

Team Members: Adepu Uday sai, D. Darshana, Goutham Kancherla, Yesu Nirmala Lekha Chittajallu, Thriveni Ganji. 

Batch and year: ECE, 3rd year 

College name: VNR vignana Jyothi institute of engineering and technology.

Automated Data Extractor | Team Avengers

Team Name: Avengers

Team Members: Upender Kaveti, Katta Vishnu Teja, Deepak Varma, Geethanjali.Polisetty, MD Abdul Rab

Batch and Year: 2018-2022 Batch and 3rd year

College Name: VNR Vignana Jyothi Institute of Engineering &Technology

Project Description: We have developed an automated search engine which extracts the data from e-commerce websites we first extracted the product links through a link extractor module. 

 We then built a crawler to collect specifications, reviews, images, Product description of every product from the respective modules. Putting all together we then built a Crawler Manager which takes product category as user input and this input is passed to the link extractor which simultaneously passes the links returned from link extractor module to the crawler module to collect the data of the products. Finally data is collected in the dictionary format and stored into a json file.

Tuberculosis Detection | Team Brawls

Team Name: Team Brawls

Team Members: B Varun kumar, A.Sai Praneeth, K.Jitendranadh, Ch.Soumya, K.Harshitha

Batch and Year: 3rd Year, 2022 Batch.

College Name: VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING AND TECHNOLOGY

Project Description:
The problem statement is about Tuberculosis Disease Identification. It uses the x- ray image dataset.

It can be achieved through many different techniques. We are using the Deep Learning technique to identify whether a person is suffering with TB or not. Solution for this problem is very much important because it is the kind of disease which requires early attention or else it might show long- term effects and even the victim’s lives might also be in danger.We completed it in a time span of 3 weeks.

Optical Character Recognition | Team Charmers

Team Name: Charmers

Team Members: Adepu Uday sai, D. Darshana, Goutham Kancherla, Yesu Nirmala Lekha Chittajallu, Thriveni Ganji.

Batch and year: ECE, 3rd year

College name: VNR vignana Jyothi institute of engineering and technology.

Project description: We made a Machine Learning model using the dataset downloaded from an open-source. We adjusted the pixel resolution and size of the images and turned it to 

grayscale. We used Machine Learning model called Recurrent Neural Network (RNN). We used python (Google Colab) for developing the code. When the target image is given to the model, it returned output as machine editable text along with probability.

Internet Controlled Robot

Project Description: We have developed an internet controlled robot using various softwares like Solid works and Ansys and for the controlled system we used python 3 and open CV. 

This project is used in fields in order to make the works easy and economical. We have learnt how to apply our core knowledge into a real time

 

Team Name: Data Pirates 

Team Members: Tankasala Spurthi, Shashidhar Reddy Nandikonda, B. Chandrakiran, T. Saikrishna , Sukrutha Sai Durga 

Batch and Year: 3rd year Mechanical 

College Name: VNRVJIET

Image Style Transfer

Project Description: To develop an AI application that changes the style of an image based on other image Our team developed a model which takes 2 images as input and we extracted features from the style image and applied those features to the first (content) image so that the style of our image changes according to our requirement. We have used VGG 19 architecture which is a Convolution Neural Network and is 19 layers deep. It can classify images into 1000 object categories. Hence it is widely used. The style of the image has been changed according to the style image which we provided.

Team Name: EDITH 

Team Members: Rohith, Ramya Sri, Shashi 

Batch and Year: CSE 2018-22 batch,3rd year 

College Name: VNR Vignana Jyothi Institution of Engineering and Technology

Face-Ant-Spoofing

Project Description: While challenge-response approach, multi modal analysis and  multi-spectralm imaging provide efficient means for discriminating real faces from fake ones,  they are also rather impractical due to interaction or unconventional imaging requirements.

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Batch and Year: B.E/B.Tech 2021-2022 

College Name: VNR Vignana Jyothi Institution of Engineering and Technology

Robot Assistant

Project Description: To make the robot talkative, we are again enabling real time voice  detection by sending the voice over internet to distribute the load accordingly.

Addition of other functionalities like gamification would be built or we can make use of existing  games to directly install in it.

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Batch and Year: B.com/B.sc 2021-2022 

College Name: Sindhu Women’s Degree College

Face-Based Attendance

Project Description:  Our team developed a model which takes a single image from the subject and then stores into database for future recognition of the subject making it one of the most convenient solution for the employees.

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Batch and Year: B.com/B.sc 2021-2022 

College Name: Sindhu Women’s Degree College

Object Id

Project Description:  Our team developed a model which can automatically assign a unique ID to same class in an image to keep a firm tacking on the subject which cane be used at airport and many other places for contact tracing during Covid.

Team Name: Cohort 

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Blood Cell Count

Project Description:  Our team developed a model which can automatically count the RBC, WBC and platelets from the microscope image to make blood test easier and faster.

Team Name: Cohort 

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No Parking Detection Using Traffic Camera

Project Description:  Our team developed a model which can automatically detect NO parking violation if a vehicle is parked on road or in no parking area which is pre-defined.

Team Name: Cohort 

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