S M A Sri Harsha Sunkavalli

Dedicated and Goal-oriented computer science graduate looking to pursue a career in the computer Science domain. Seeking a position in the field of Computer Science where I can utilize my skills to further work towards personal and professional development and contribute towards the prosperity of the organization. Highly motivated and eager to update on new things. Possess excellent knowledge of core computer science skills. Specialized in Artificial Intelligence.

Skin-Cancer Detection

The main aim of this project is to detect skin cancer at the early stage with less cost. The Entire project is built based on a dataset that contains image samples of 9 types of skin cancer. These image samples will undergo several image augmentation techniques to increase the accuracy of the model.Transfer Learning plays a key role in this project

Emotion Recognition using Brain Waves

Worked on Developing a deep neural network that can predict the emotion of a person using Brain waves. The entire project was built based on a dataset that contains a certain type of emotions on which the model gets trained. The model will classify emotion based on the Frequency of the brain waves.

Taxi Simulator, A Reinforcement Learning based project

The main aim of this project is to provide the lowest taxi fare price by finding the shortest path. Reinforcement learning helped a lot in making the model accurate without any pre-defined dataset. So this reinforcement-based model can be deployed in any environment.

Sentiment Analysis using Twitter Data, A NLP Project

The main Aim of this project is to detect or predict emotions of different social issues.Which can help companies in making their products better,

Content Recommendation system, A Big Data Analytics Project

An recommender system which uses collaborative filtering for content-based recommendation of movies

Design of IoT enabled Farmer Centric Multi Crop Irrigation Support System, 2nd Intl. Conference on SSIC 2019(Springer),

 Proposed a cost effective solution prototype for smart farming techniques 

• DeepLearning with Matlab - 3 months
• Reinforcement Learning with Matlab - 3months