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Student Projects: VNRVJIET
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
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.
Student Projects: VNRVJIET
Internet Controlled Robot | Team Data Pirates
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
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.
Image Style Transfer | Team Edith
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
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.