National Institute of Technology Karnataka, Surathkal
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Code Projects

2018-19 Projects

Semantic Search

Semantic search seeks to improve search accuracy by understanding a searcher’s intent through contextual meaning. The attempts to train a visual recognition model using labeled images as well as semantic information from text data. Will use textual data to learn semantic relationships between labels and map images into a semantic embedding space.

Music Generation using Deep Learning

This model will implement a recurrent neural network trained to generate classical music. The model learns to predict which notes will be played at each time step of a musical piece based on the previous music sequence.

Visual Question and Answering

VQA is a new dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer. It is a model that answers questions based on an image.

Steering Angle Detection in Autonomous Driving

The recent trend of proliferation of road accidents and fatalities, calls for a methodology that can appease the burden on the drivers during certain crucial moments, requiring fast response and decision making.This aims to create an effective procedure for determining the steering angle required to keep the vehicle in the middle of the lane.