MTech final year projects serve as a bridge between academic learning and real-world applications. They offer students an opportunity to delve into practical implementations of theoretical concepts. g real-life use cases into MTech projects adds relevance and practicality. It enhances students’ understanding and provides valuable insights into industry needs and trends.
Integrating emotion recognition into educational software enhances engagement, personalization, and feedback. It involves collecting and labeling facial expression data from webcams or datasets for model training in online learning environments.
Forecasting models predict electricity demand to optimize grid operations, manage resources, and integrate renewables. The process includes data collection, time series analysis, model selection (ARIMA, LSTM, Prophet), deployment, and real-time monitoring.
A smart city solution leveraging computer vision to monitor traffic, detect congestion, and optimize signals. It involves video data collection, object detection (YOLO, Faster R-CNN), system integration, and real-time testing for efficient urban traffic management.
Utilizing NLP to analyze and respond to customer queries, enhancing support efficiency. It involves text data collection, model training (RNNs, CNNs, BERT), and integration with support systems for automated query classification and chatbot assistance.
A remote patient monitoring system using IoT sensors to track vital signs. It includes sensor deployment, secure data transmission, storage, and real-time alerts for timely medical interventions, enhancing personalized healthcare and patient safety.