
AKHIL THALATOTI
PROJECTS
Development of a 2D video game | 2019 - Current
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Led a team of 3 to design and develop a video game from scratch in Unity environment by using C# to code the gameplay mechanics and building a sleek UI for players.
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Implemented parallax effect using C# to create the illusion of distance between 4+ layers.
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Import prebuilt assets into current projects and designed 5 new robust and fun levels.
Art Generation with neural style transfer | 2020
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Utilized pretrained VGG-19 weights to implement a model to minimize content and style cost function by taking activation from specific layers in the architecture and using adam optimization algorithm in tensorflow.
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Generated art using the style from one image to create content similar to “content” image using said model.
Face Verification and Recognition | 2020
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Inspired by FaceNet, implemented triplet loss function in keras and tensorflow
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Used pretrained weights from FaceNet to encode facial images into 128-dimensional vectors
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Utilized said encodings to perform face verification and recognition by computing the L2 distance between input encodings and database encodings.
Autonomous Driving Application Car Detection | 2020
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Implemented a filtering function to filter “boxes” of classes below a threshold.
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Utilized pretrained YOLOv2 model parameters and implemented non max suppression and IoU to reduce multiple detections of same objects in an image
Movie Recommender System | 2020
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Designed and implemented a movie recommender system using collaborative filtering algorithm from movielens 100K dataset.
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The system recommends a set of movies with predicted ratings based on users previous rating history.


Content

Style

Generated
Alpha capture of playable character and an enemy sprite.