GIFs Search Engine and Performance Optimization Project

Machine Learning Scala

The high-level goal of this project is oriented towards improving a search engine to better understand the user’s intent behind the search query and suggest the matching imagery. To achieve this goal, our team has designed, built, validated and trained an API that encompasses several Machine Learning algorithms.

Machine Learning

DevOps

Web

Services

Deep Convolutional Neural Networks (ConvNet or CNN
Deep Recurrent Neural Networks
Reinforcement Learning
Continuous Learning
Metric Learning
Sequence to Sequence Architecture
Word2Vec
Word Embeddings
Word Lemmatization and Tokenization
Faces Embedding

Infrastructure as Code (IaC)
Keras
PyTorch
Kubernetes
AWS S3
Docker
CI/CD
Terraform
TensorFlow
Jenkins
Redshift

Python
Babel
React
NewRelic
Django
Gunicorn
WebPack

Scala
Protobuf
Spark
Akka
Akka HTTP
Akka Streams

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GIFs Search Engine and Performance Optimization Project

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