Richitha Chattu

As an AIML+Computer Science student, possessing a strong technical background and a passion for innovation and creativity, short-term goal is to secure entry-level opportunities to further develop skills while contributing to company growth. With a focus on facilitating progress and driving success, eager to apply knowledge and dedication to make a meaningful impact in the field.

• Verzeo Internship, 07/01/2022, 08/31/2022
• Certificate of course completion, "Machine Learning with Python",From Verzeo
• Certificate of course completion, "Data Analytics and Cloud computing" , From Edunet
• Certificate of course completion, "AIML for Geodata Analysis", from IISR,ISRO

1.Image Captioning using Convolutional Neural Networks and Recurrent Neural Networks

   -Image captioning is a task that involves generating a textual description of an image. It requires understanding both the visual content of an image (computer vision)          and generating a grammatically and semantically correct description (natural language processing).

-The project of image captioning using CNN and RNN is a blend of computer vision and natural language processing, leveraging deep learning architectures to create a system capable of interpreting and describing the contents of an image.

-In this project, Convolutional Neural Networks (CNNs) are used to extract features from images, while Recurrent Neural Networks (RNNs), often implemented as Long Short-Term Memory (LSTM) networks, generate corresponding descriptions based on those features.

-Utilized pre-trained models ( ResNet) to extract high-level image features and fed them into the RNN to generate sequence-based descriptions.

2.Detecting the movement of objects using webcam

This project is about detecting the movement of objects using webcam. This is developed using python programming language. It works by capturing the surroundings using webcam and this video live feed broken into image instances and these image instances are compared with each other by using the threshold value.