ANUGNA MACHERLA

Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills. Dedicated student interested in applying excellent communication and interpersonal skills to a role.

• Certificate of Publication at Indian Institute Of Industrial Engineering for the Article - Melodic Mood :Emotion based Music Recommendation System using Deep Learning
• ITC Data Analytics with PowerBi
• Official Volunteer - THE ART OF LIVING
• NSS (NATIONAL SERVICE SCHEME)

• PowerBi Workshop certificate by ITC academy (11/2022-11/2022)
• Python fullstack training certificate by Inspanner Academy (10/2023-Present)
• Inter-section Dance Competition (2016)

• HEART ATTACK PREDICTION USING MACHINE LEARNING EMOTION BASED MUSIC RECOMMENDATION SYSTEM

Heart attack prediction is a critical task in modern healthcare due to the rising prevalance of cardiovascular diseases . Researchers have been using several data mining techniques to help health care in the diagnosis of heart disease. The project aims to utilize a diverse dataset comprising relevant medical parameters and risk factors associated with heart attacks.

• MELODIC MOOD : EMOTION BASED MUSIC RECOMMENDATION SYSTEM USING DEEP LEARNING

In today's hyper active world full of stress and pressure, mental and emotional health is becoming important factors in maintaining a person's well-being. There is enormous amount of studies that showcase that music have a major impact on the mood With the integration of Convolutional Neural Networks (CNN) , the field of music recommendation system has been advaced.