As a motivated Computer Science and Engineering student specializing in Artificial Intelligence at Amrita Vishwa Vidyapeetham, I am passionate about leveraging technology to drive innovation and solve complex problems. With a strong foundation in web development, I possess a solid understanding of front-end technologies and frameworks.
Throughout my academic journey, I have acquired a diverse skill set encompassing programming languages, data structures, and algorithms. I have actively engaged in projects and coursework focused on machine learning, natural language processing, and computer vision, allowing me to explore the fascinating applications of AI.
Driven by a continuous desire for learning and growth, I am committed to staying updated with the latest industry trends and emerging technologies. I am particularly excited about applying my knowledge of AI and web development to create intelligent and user-friendly web applications.
Apart from my technical pursuits, I am a proactive team player and possess strong communication skills. I enjoy collaborating with like-minded individuals to achieve shared goals and contribute to a positive work environment.
I am open to exploring internship opportunities, projects, and collaborations that allow me to apply my skills in web development and AI. Feel free to connect with me to discuss potential opportunities or share insights within the tech community.
Let's connect and together create a future where technology empowers and enhances our lives.
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In recent years, machien learning techiniques have gained prominence in the automated identification of respiratory conditions from audio recordings, specifically crackles and wheezes. The systematic review by Garcia-Mendez et al. provides valuable insights into the application of machine learning for classifying abnormal lung sounds, emphasizing the need for efficient classification models.
Stock market forecasting in financial engineering faces challenges due to volatility and external influences. Research into sentiment analysis methods like deep learning reveals promise, particularly with abundant training data. Financial experts are testing sentiment analysis-based machine learning models for enhanced predictions. Ongoing efforts aim to refine currency trading estimation models for greater accuracy.
Sreenath Vadlamudi
9398298500
sreenathvadlamudi9@gmail.com