SHRAVYA

An aspiring Computer Science and Engineering graduate with a solid foundation in web application development, seeking a software developer role to enhance professional and technical skills. Passionate about problem-solving and creating efficient solutions through technology. Driven to work collaboratively in a team environment and contribute to innovative projects. Eager to contribute acquired knowledge and expertise for the growth and success of the organization.

• Java for beginners, Infosys Springboard, 2024
• Basics of data structures and algorithms, Simplilearn, 2024
• Web Development Training, Internshala Training, 2023

NxtAlign Innovations                                                                                                                08/01/23, 09/30/23 Crop Price Prediction using LSTM model

 Developed an LSTM model to predict Arecanut and Coconut prices using seven years of historical data, capturing the dynamics of agricultural pricing. The model accurately forecasts minimum, maximum, and modal prices providing a comprehensive analysis of market trends. By leveraging historical data, the tool helps identify price patterns and predict future trends. This solution offers valuable insights for farmers and merchants, enabling them to make more informed decisions. Ultimately it assists in optimizing trading strategies and improving market forecasting.

Detection of Polycystic Ovary Syndrome using Deep Learning, 09/01/23, 03/31/24, Developed an automated system for Polycystic Ovary Syndrome (PCOS) detection by integrating manual input data and ultrasound imaging. The project uses a Convolutional Neural Network (CNN) to analyze ultrasound scans and detect patterns indicative of PCOS. This approach enhances diagnostic accuracy and streamlines the evaluation process, providing reliable assessments for early detection and treatment. The system aims to improve patient care, provide accurate diagnoses, and empower users to make informed health decisions efficiently.