
UNDERGRADUATE PROJECT's:
- Data transmission rates were significantly improved due to reduction in the peak to average power ratio of OFDM.
- This project is used to collect the data from the patients along with their Place of living and allot the information of the Doctor nearby for their problem specified. The information of the doctor contains qualifications, specializations, address, contact details and consultation fee.
- This project is used to collect the items purchased by the customers in Super Market and calculate total amount they have to pay. The customer can pay the bill either in hand cash or through online transaction.
GRADUATE PROJECT's:
-This project is used to reduce the security threat of cyber attacks and unauthorized access to sensitive information, platoon vehicle security in VANET networks is a significant problem that necessitates effective and efficient solutions. To improve the security and privacy of platooning, the position-based broadcast algorithm and dynamic key management system suggested in this study provide a potential option.
- Constructing Baseline Named Entity Recognition using Pre-trained BERT model with Joint Learning in Natural Language Processing. Here we raw data from the 2 datasets and split those each dataset into train, validate and test data. And split data are tokenized using the BERT Tokenizer. Apply BERT Model on 2 Datasets because we are using multi-task learning. We use Round-Robin model to continue the loop between BERT transformer, 2 Datasets (simultaneously) and Back propagation. Calculate Loss function and evaluate the results.