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Interested in Data science, AR and Game Development. Currently pursuing my B.Tech final year in Computer Science and Engineering.
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InceptionNet-Malware-Analysis
July 12, 2022 – July 29, 2023
Modern malware is designed to evade signature-based detection techniques. Thus, we can use Deep Convoluted Neural Networks in order to classify malware depicted by its binary malware image. In this project, we particularly use InceptionNetV3 for classifying malware binaries.
View ProjectResNet50-Cancer-cell-Classifier
July 10, 2022 – July 10, 2022
Cancer Histology Images are one of the more widely used preferred methods to identify cancer. In this project, we train a robust ResNet-50 model to classify breast cancer histology images as benign or malignant by using the BreakHis dataset.
View ProjectDecentralizedML-Cancer-Prediction
July 9, 2022 – July 18, 2022
Medical data generated at Hospitals and Research centers cannot leave its place of origin due to privacy norms. With Edge Computing and a decentralised approach, the data will never leave the device and it utilises the processing power of the individual edge devices.
View ProjectLow-Light-Image-Enhancement-Techniques
July 9, 2022 – July 9, 2022
With the rapid growth in real time applications needing a robust image enhancement system, so has the need for low light image enhancement increased. This script ncludes methods like Grayscale transformation, Histogram equalization, Retinex based, Frequency domain based, Image fusion and Dehazing.
View ProjectRoot-Analysis-NTFS
April 28, 2022 – April 29, 2022
Root-Analysis-NTFS — GitHub repository
View ProjectFile-Carver-in-C
April 2, 2022 – April 8, 2022
C program to carve out jpeg and bmp files from a disk image
View ProjectTodoApp-Flutter-Firebase
May 12, 2021 – May 12, 2021
To-Do app built using Flutter with Firebase as back-end. Google accounts are used for authorisation.
View ProjectHeatmap-Generator-using-Unity
February 2, 2021 – February 17, 2021
Method used : (1) SetPixel() with textures(Hits.cs and Maptex.cs) and (2)Using custom shaders (Test1.shader)
View ProjectAir-Quality-Index-Analysis
October 27, 2020 – December 6, 2020
A project that showcases Pandas, Matplotlib, Seaborn, Data Cleaning, Data Visualization, Hypothesis testing in air quality index of Bangalore.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic in nature, showcasing a strong interest in self-driven learning and exploration across various technical domains (ML, image processing, mobile development, C++ utilities). This indicates a proactive and curious individual. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit within a corporate environment. The diversity of projects, while showing breadth, also suggests a potential lack of deep specialization in a single area relevant to the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, indicating a focus on technical output.