Projects
Engaging in diverse projects has been instrumental in cultivating a
profound sense of confidence in my abilities, as they serve as
real-world proving grounds for the theoretical knowledge acquired
Implementation of Federated Learning on CIFAR-10 using VGG-19
11/07/2023 – Present
We are working on implementing the concept of Federated Learning, on classification techniques using CNN (VGG-16 & VGG-19) and, intend to compare their working on i.i.d and non - i.i.d dataset.
Business Capstone Project
06/02/2023 – 26/04/2023
• Completed a business capstone project as part of my 6th semester in Mathematics and Computing.
• Developed a deep understanding of qualitative and quantitative research methods.
• Conducted research and analysis to understand the sudden fall in stock prices and customer behaviour .
• Collaborated with Sahil and Gautam (batch mates) during the project .
• Presented findings and recommendations to the project bench at NIT- Hamirpur.
• Demonstrated the outcomes of the Cohort Analysis and Retention Rate Percentage through successful completion of the project.
Bank-Note Authentication Model
08/11/2021 – 25/12/2021
• Developed a machine learning project that aims to classify banknotes as genuine or forged based on their image features.
• Extracted features such as wavelet variance, wavelet skewness, wavelet kurtosis, and image entropy from the images.
• Used scikit-learn to train a K-Means model to detect if a banknote is genuine or forged.