Arya Kumari

Machine Learning Intern

Defence Research and Development Organization (DRDO)•  May 2024 - July 2024•  Bengaluru, Karnataka

Developed a deep learning model to accurately locate airborne threats in 3D space by fusing sensor data from two airborne platforms. The model had a maximum accuracy of 98.4%. Developed and implemented Recurrent Neural Networks (RNNs) and Long Short-Term Memory networks (LSTMs) for forecasting time series data. Integrated advanced data fusion techniques to combine sensor inputs from two airborne platforms. Deployed the model in a simulated airborne environment to test real-time performance and collaborated with cross-functional teams to refine model accuracy and reduce false positives.