Help & Supportcareers@gravityer.com
Sometimes.. it's not a bug.. it can be an undocumented feature
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CSE332-Operating-Systems-EndSem
November 22, 2021 – November 25, 2021
This Repository contains the End Semester Examination submissions of the students enrolled in CSE332 Operating Systems course during Monsoon 2k21-22 Semester.
View ProjectNews-Recommendation-System
April 10, 2021 – April 28, 2021
News-Recommendation-System-using-SVM
View ProjectNeural-Style-Transfer
April 6, 2021 – April 27, 2021
This work presents a neural algorithm of artistic style, known as Style Transfer, that can separate and recombine the image content and style of natural images. The algorithm allows us to produce new images of high perceptual quality that combine the content of an arbitrary photograph with the appearance of numerous well-known artworks. This work provides insights into the deep image representations learned by different Convolutional Neural Network architectures viz. VGG- 16, VGG-19, and ResNet50
View ProjectClassification-of-Citrus-Leaves-using-CNN-classifier
April 6, 2021 – April 28, 2021
Our objective is Classification of Citrus Leaves Data using CNN classifier. Here, we are comparing performances of different optimizers and hyper-parameters on the basis of different metrics like Accuracy, Precision, Recall.
View ProjectFace-Recognition-using-MultiBlock-LBPH
April 6, 2021 – April 6, 2021
Local Binary Pattern Histogram (LBPH) was one of the best algorithms used to perform face recognition but in past few years, due to great ongoing researchs, there exist few more superior algorithms such as ARC Face Algo, Haar Algo, 4SF algo, etc. which are more efficient in real world terms. LBPH is an algorithm to extract the local features / patterns into histogram format. The dataset selected is 'ORL Face Dataset' which includes 10 images for each of the 40 persons. We will split the training and testing dataset into 7:3 ratio and after processing over the training dataset, we will input few images where we extract their features and find the most similar faces using nearest-neighbour classifier and thus recognition is done. For further more details, please check the report.
View ProjectLoG-Operator
April 2, 2021 – April 2, 2021
This is a part of group assignment for Computer Vision Course where we have implemented the Marr-Hildreth Algorithm to determine the edges in the image. Marr-Hildreth proposed a Gaussian Filter combined with the Laplacian, which in terms can be referred as Laplacian of Gaussian Operator (LoG Operator), to filter out the noise.
View ProjectGamma-Torrent
November 26, 2020 – December 7, 2020
Simple Implementation of Bittorrent-Client in Python
View ProjectMolecular-Communications-Receiver-Design
November 20, 2020 – December 15, 2020
Project in Wireless Communication Course.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards academic and personal projects, primarily in Machine Learning and Computer Vision. The diversity of projects suggests a curious and self-driven individual. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit for a collaborative software engineering role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.