Fake News Classifier using BERT and Discriminator
Classified news articles using BERT for contextual embeddings and transfer learning techniques.
Enhanced model robustness through custom architectures and optimization strategies.
Analyzed student interactions using SVD, recommendation systems, and ML techniques.
Identified influential and at-risk students, providing personalized academic recommendations.
Implemented a blockchain-based secure voting system with a Merkle Tree structure.
Developed a user-friendly interface with custom hashing functions and administrator controls.
Created a C++ system to convert RISC-V assembly into machine code, supporting various instruction formats.
Implemented branch predictors and optimized data storage and code generation for efficiency.