👩💻 Problem solving | Machine Learning Enthusiast 💡 Proficient in Python, C++ and machine learning.
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CTS_Cross_Prompt_Mod
November 8, 2024 – November 8, 2024
CTS_Cross_Prompt_Mod — GitHub repository
View ProjectCross-Prompt-Essay-Grader-Model
October 30, 2024 – November 11, 2024
Cross-Prompt-Essay-Grader-Model — GitHub repository
View ProjectAutomatic-Toll-Collection
July 31, 2024 – August 4, 2024
Used YoloV8 for real time tracking of License Plates and toll collection through authentication of License Plates.
View ProjectSkin-Cancer-Detection
July 29, 2024 – July 29, 2024
Developed a CNN model to classify skin moles as benign or malignant using a balanced dataset from Kaggle, achieving a test accuracy of 81.82% and an AUC of 89.06%. Implemented data preprocessing by resizing images to 224x224 pixels and normalizing pixel values, enhancing model performance and stability.
View ProjectText-Classification-for-Movie-Review
July 28, 2024 – July 28, 2024
Text Classification and Sentiment Analysis of IMDB reviews by finetuning BERT
View ProjectCIFAR-100-Image-Classification
April 20, 2024 – April 28, 2024
This project explores diverse approaches to image classification on the CIFAR-100 dataset. Starting from traditional CNNs combined with KNN classifiers, it progresses to ResNet50 with FCNN and culminates in the cutting-edge Vision Transformer (ViT) model.
View ProjectSAS_ML
March 25, 2023 – March 26, 2023
SAS_ML is a flood detection system using SAR satellites, Sentinel 1 and 2, made in Hashcode 11.0 hackathon. Our model detects if in an area, there is a flood or not, and if it is a flood, we calculate the damage percentage caused so that the concerned authorities can be informed and focus on parts where damage is maximum.
View Projectmoview
November 4, 2022 – December 1, 2022
Moview is a Movie Review System made using MERN stack. It has features of User and Admin Management along with Movie Review System. The database is designed in MongoDB.
View ProjectBookLing
July 31, 2022 – September 27, 2022
BookLing is a project made in Dotslash hackathon conducted by PES University. It is a localized app for college students to buy and sell books inside their own campus (in this case PES University). Other features include blogging and mentoring.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, including participation in hackathons, which suggests a proactive and self-driven learning approach. The diversity of projects, from image classification to text analysis and full-stack development, indicates a broad interest in technology. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges.