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Rahil Vijay's Projects

banking-management-system icon banking-management-system

The project aims to develop a password protected administrative access banking management system that is user-friendly and multi-functional with system calls, file locking, process management and socket programming.

continous-control icon continous-control

Implemented Deep Deterministic Policy Gradient(DDPG) algorithm to solve the Unity Reacher version-2 environment.

cyclegan-in-pytorch icon cyclegan-in-pytorch

Designed a CycleGAN model for image-to-image translation from unpaired training dataset using an unsupervised approach. The objective was to train generators that learn to transform an image from domain X into an image that looks like it came from domain Y (and vice versa).

dog-identification-app icon dog-identification-app

Developed an algorithm that could be used as part of a mobile or web app. The project accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.

face-and-gender-recognition icon face-and-gender-recognition

Face and gender recognition from facial features using various methods like eigen-faces ,PCA then SVM. Learnt about the various preprocessing methods ,like use of dlib library and haarcascasding.

face-generator icon face-generator

Defined and trained a DCGAN model on a dataset of faces. The goal was to get a generator network to generate new images of fake human faces that look as realistic as possible.

navigation icon navigation

Implemented Deep Q-Network(DQN) and its different variants in different environments.

ping-pong- icon ping-pong-

A GUI based game in which two players hit a little, light ball back and forth across a table using a small paddle.Built using an open source python programming language library called pygame.

script-generator icon script-generator

Built an RNN model to generate your own TV scripts. The model is trained on dataset from Seinfeld TV scripts from 9 seasons. The neural network developed can be used to generate a new, "fake" TV script.

zomato-restaurant-rating icon zomato-restaurant-rating

Designed a model that help in predicting the rating of restaurants from different countries based on different features.Learnt about the importance of data handling.

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