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data-modeling-and-database-integration

Performed rigorous data cleansing, merging, and normalization of diverse ABN datasets extracted from XML files, ensuring data integrity and consistency. Developed a relational database schema (SQLite) utilizing entity-relationship (ER) modeling techniques to seamlessly accommodate various ABN datasets, facilitating efficient data integration .

deep-learning-on-sma-materials_mtech_project2

Created a fatigue failure prediction model: Deep Neural Networks for material classification, and Linear Regression, SVM, and Random Forest for failure cycle forecasting. Analyzed material properties using Convolutional Neural Networks: AlexNet for cracked images, VGG-16 for non-cracked images, optimizing accuracy through hyperparameter tuning

nlp_projects

Fake news detection and Spam Classifier using NLP

physics-informed-neural-networks-pinn--mtech-project-1

Utilized Physics-Informed Neural Networks (PINNs) to achieve 99.99% accuracy in solving complex elasticity problems, outperforming Finite Element Analysis (FEA), and showcasing superior efficiency in solving diverse beam structures higher-order partial and ordinary differential equations

programming