Esheta

B.Tech student with a solid foundation in core programming concepts and a strong interest in software development. Skilled in Java , with a good understanding of Object-Oriented Programming (OOPs) and Data Structures and Algorithms (DSA) . Experienced in building responsive web pages using HTML and CSS , and currently exploring the basics of Machine Learning . Quick learner with a hands-on approach to problem-solving and a focus on continuous skill development through personal projects and practice.

Algorithms Specialization by Stanford University from Coursera

1. Skin Disease Identification using Image Analysis : Developed Machine Learning and Deep Learning models for the detection of skin diseases. The development was done using Flask Framework and the model gave 87% accuracy.

2. Sentiment Analysis of Twitter Data : Developed a deep learning model that classifies the comments as positive and negative by computationally measuring the humans perceptions. Using this the sentiment of the person who is sending the tweet can be understood and the tweet can be analyzed. Tech Stack- Deep Learning with Python and NLP, Flask Framework.

3. ATM System : Developed an ATM (Automated Teller Machine) System that allows users to login to their bank accounts and make transactions. The project had functionalities like checking account balance, depositing/withdrawing money etc. JAVA CORE and My SQL were used for the back-end and Java AWT and Swing were used for the front-end.

4. To Do List Application :A command-line task management system built in C, enabling users to add, update, delete, and track tasks efficiently. Implements structured data handling and file I/O for persistent storage, showcasing practical use of C programming with OOPS for real-world utility.