ananya tippani

Designed and trained deep learning models for speaker verification and consent detection with state-of-the-art toolkits such as SpeechBrain and OpenAI Whisper, integrating them into production to enhance the company’s user verification process. Collaborated on secure user management and identity handling using Amazon Cognito and custom Web APIs on AWS, ensuring seamless integration with the application’s backend.

Predicting Plant Growth Rates in an IoT-Based Controlled Environment Agriculture System Using Camera Images 1. Developed and optimized image processing techniques (dilation, segmentation) using Python & OpenCV for an IoT based agriculture project. 2.Conducted data filtering and pattern-based recognition to improve the accuracy of plant growth prediction models. 3.Delivered a technical seminar discussing research findings and the impact of AI in agriculture.