Team Member: Nagesh, Sasikiran
Description: Built a regression model using LGBM Regressor to predict the number of rings in the Abalone shell based on features like width, height, and thickness.
Team Member: Nagesh
Description: Designed a Physics-Informed Neural Network (PINN) to solve the convection-diffusion partial differential equation.Implemented generalization techniques and hyperparameter tuning to optimize model performance.
Team Member: Nagesh
Description: Built a Retrieval-Augmented Generation (RAG) system leveraging an LLM with fewer than 3B parameters and FAISS vector database. Designed the system to answer PDF-related queries, providing contextual references and sources from the document.
Team Member: Nagesh, Ravikiran.
Description: Developed a time series model using ARIMA and LSTM to predict stock prices based on historical data.
Team Member: Nagesh, Sayhan, Mohit.
Description: Collaborated with team members for object detection and tracking in video clips to predict vehicle counts for various classes of vehicles. Used YOLO models for object detection and OpenCV (cv2) for tracking.
Team Member: Nagesh, Sayhan, Vineeth, Srinivas.
Description: Developed an LLM-powered assistant to provide resume suggestions based on job descriptions. Integrated Google’s free API and utilized Gemini as the core LLM.
Team Member: Nagesh
Description: Performed statistical Analytics and feature engineering to build different Classification models to classify the patient as having disease to be True or False.