Aspiring Software Engineer
I'm an aspiring Software Engineer with a focus on computer vision and deep learning, having developed a model that detects plant diseases from leaf images with a 92.5% accuracy rate. I've also created projects like Tongue Trek, an English learning website, and a network intrusion detection system using machine learning. I'm now building toward a career in software engineering, aiming to leverage my skills in Java, Python, and AI to develop innovative solutions for real-world challenges.
Developed an interactive English learning platform with gamified quizzes and real-time feedback using HTML, CSS, JavaScript, Python (Flask). Implemented user progress tracking and adaptive content delivery, supporting concurrent users efficiently.
Built a deep learning model to detect plant diseases from leaf images using Python, TensorFlow, OpenCV, Keras, achieving 92.5% accuracy. Designed preprocessing pipelines and deployed the model as a web application for real-time predictions.
Developed a machine learning-based intrusion detection system using Python, Scikit-learn, Pandas, NumPy, Cybersecurity Concepts, achieving 99.63% detection accuracy. Implemented real-time network traffic monitoring and threat classification into Low, Moderate, and High severity levels.
Bachelor of Technology in Information Technology • 2026
8.88
Intermediate (12th) – MPC • 2022
85.30%
10th Class (SSC) • 2020
10
Presented at the Promethean Event, attended by 5000+ participants.
Contributed to idea development and prototype design.
IEEE Conference
The work focuses on improving the accuracy of intrusion detection using feature engineering and machine learning models.
Actively involved, enhancing problem-solving and teamwork skills.
Interested in collaboration or just want to say hello? Feel free to reach out!