Niranjan

Dedicated individual, passionate about web development, coding, and problem-solving. Seeking opportunities to apply technical expertise and contribute to innovative projects. Strong foundation in programming and markup languages. I aim to grow professionally and make a meaningful impact in the tech industry.

Certification in Full Stack Web Development (MERN), Illinois Tech, US [11/2023 - 04/2025]

Full Stack Web Development (MERN), Entri Elevate [11/2023 - 04/2025]

• Covered different aspects of Web Development, including React.js, Node.js, Express.js, and MongoDB, etc
• Completed one Capstone Project on a movie ticket booking application using the MERN stack

Certification in Data Science with Machine Learning, Skolar [02/2023 - 10/2023]

• Covered various ML models and their applications, in addition to the projects
• Completed one Capstone Project on ML and Data Science

Certification in Workshop on Cybersecurity and Blockchain, Amrita University [09/2022]

• Covered Cybersecurity and Blockchain concepts in two days workshop

Kannada handwritten Braille character recognition using intelligence techniques [07/2024 - 04/2025]

• Developed a system to recognize handwritten Kannada Braille using YOLOv5 and CNN-based deep learning, efficiently detecting and classifying Braille dot patterns from real-world images

Movie ticket booking application in MERN stack [01/2025 - 03/2025]

• A project assigned by Entri Elevate as part of the certification course, I'm developing a web app using all the tools of the MERN stack that I've learned

A comparative approach to classification algorithms on a pathology dataset [02/2024 - 06/2024]

• Developed a predictive model for chronic kidney disease using Random Forest, KNN, and Decision Tree, improving accuracy with data preprocessing and ROC-AUC evaluation

Fraud App Detection using Sentiment Analysis [07/2022 - 12/2022]

• Developed a fraud detection system using sentiment analysis to identify fraudulent apps from user reviews, improving detection efficiency

AI/ML solution for face-swap deepfake detection, August 2024

• Developed an AI/ML solution for detecting face-swap deep fakes using CNNs, LSTMs, and Grad-CAM for explainability, enhancing digital security

Medicinal leaves identification using deep learning [08/2023]

• Developed a CNN-based system to identify medicinal leaves by analyzing key features like shape and texture, enabling accurate and efficient classification for research and healthcare

• Published a conference paper titled 'Empowering the Blind School Communities by Recognition of Handwritten Braille Text Documents Using YOLO Technique' in the ICCES-362 Conference
• Published an article (journal paper) titled 'WAYVision: A hybrid deep learning approach for recognizing handwritten Kannada Braille using wavelet transformation and attention-based YOLOv5' MethodsX