Shruthi Inala

Motivated and meticulous Computer Science graduate with a keen interest in software development and a strong academic background. Enthusiastic about commencing a career in software engineering, equipped with a comprehensive skill set encompassing programming, problem-solving, and collaborative abilities. Proficient in swiftly acclimating to evolving technologies and dedicated to producing top-notch code.

• Heart Attack Prediction: Accomplished and detail-oriented Data Science enthusiast with hands-on experience in designing and implementing a heart attack prediction model. Used ML techniques to analyze datasets, identifying key risk factors and patterns associated with cardiovascular events. Successfully deployed a predictive model that demonstrates a high accuracy rate in forecasting potential heart attacks.
• Mind Glow- Mental Health App: the development and proliferation of mental health support apps represent a significant advancement in our approach to promoting emotional well-being and addressing mental health challenges. These apps harness the power of technology to provide accessible, personalized and evidence based tools that empower individuals to take control of their mental health journeys. By offering a diverse range of features, from guided meditation and cognitive-behavioral techniques to mood tracking and peer support, these apps cater to a wide spectrum of need and preferences.
• V Connect: Here V can conduct a meeting with everyone through website. A website link is provided which can be accessed by Host and Participants.
• Brain Tumor Detection Using CNN: The developed application is very simple and easy to handle and the user can view all the details about the hospitals and check whether he has brain tumor or not which makes it easy for the user to make a quick decision. Scope limitations are restricted in some of the hospitals which can be displayed clearly and the patients or the users can book the appointment date and time slots as per their availability and can also provide their details prior. Everything is available at the fingertips for the user with minimal selections. The application gain popularity not only by the way it looks but also the way it feels and our project makes the most use of it, since it is based on Convolutional Deep Learning Neural Networks.

• Certified in Python from Udmey - 2020
• Front end developer workshop from skill safari – 2020

• Training Programs: Participated in a R programming training in my Bachelor's.
• Community Involvement: · Participated in plantation programs during NSS (NATIONAL SERVICE SCHEME) activities in college.