Projects|Rahul Patro

STEGANOGRAPHY

Hiding elements inside an Image. Steganography is the process of hiding a secret message within a larger one in such a way that someone can not know the presence or contents of the hidden message. The purpose of Steganography is to maintain secret communication between two parties. Unlike cryptography, which conceals the contents of a secret message, steganography conceals the very fact that a message is communicated.

VEHICLE NUMBER PLATE DETECTION

This helps us to detect the number on the number plate of a vehicle.. Here for locating the boards I used two different approaches:- 1. DEEP LEARNING + OPENCV Approach - Trained VGG16 model to locate the Number Plate Location with the topx,topy,bottomx and bottomy locations of each image in the Training dataset. 2. OPENCV Approach - Converted Images from RGB to Grayscale, Detected edges and contours. After detecting the Board Locations by both the approaches I cropped the Number Plate portion and used Pytesseract Image to String and detected the Number on the Number Plate..

EMOTION DETECTOR

This project aims to classify the emotion on a person's face into one of seven categories, using deep convolutional neural networks. The model is trained on the FER-2013 dataset.

OBJECT DETECTION

Used the YOLO Pretrained Model to detect the objects in a given Image. YOLO is a clever convolutional neural network (CNN) for doing object detection in real-time. The algorithm applies a single neural network to the full image, and then divides the image into regions and predicts bounding boxes and probabilities for each region.

TEXT GENERATOR

Consists some projects on keras implementation of Bidirectional-LSTM for generating text.

SIGNATURE CLASSIFICATION USING SIAMESE NETWORK

A model that classifies the forged and original pairs of signatures by calculating the Eucledian Distance between the output tensors of both the images using a Siamese Network.

NAMED ENTITY RECOGNITION

A keras implementation of Bidirectional-LSTM for Named Entity Recognition. Trained a Bidirectional LSTM Neural Network to recognize named entities in text data.

TEXT SUMMARIZATION USING SPACY

The Idea of summarization is to find a subset of data which contains the “information” of the entire set.

RECOMMENDER SYSTEM USING KNN

A Movie Recommendation System made using KNN Algorithm.. It will recommend movies to the users based on genres,ratings ets.

CLUSTERING PROJECTS

Some projects on Applications of Clustering in real-world Scenarios..