Languages:
C/C++, Python, Kotlin, SQL
Web Development:
HTML, CSS, JavaScript
Mobile Development:
Android Studio, Kotlin
Tools & Platforms:
Visual Studio Code, Postman, Microsoft Excel, Git
Core Concepts:
Object-Oriented Programming (OOP), Data Structures & Algorithms
Machine Learning & AI:
Deep Learning, PyTorch, OpenCV
- Built sentiment analysis model on Amazon Alexa reviews using NLP preprocessing and CountVectorizer.
- Trained and tuned classifiers (Random Forest, XGBoost, Decision Tree) with cross-validation.
- Conducted EDA and visualized insights using WordCloud, Seaborn, and Matplotlib.
- Developed a deep learning pipeline for traffic scene understanding using BiSeNet for semantic segmentation.
- Computed risk scores and cognitive load using object proximity and custom logic.
- Generated natural language safety reports to enhance interpretability.
- Created an Android application using Kotlin with multi-fragment architecture.
- Integrated REST APIs to fetch and display book information.
- Used ViewModel and Fragment transactions for UI flow management.
- 2nd Place – Inter-School Instrumental Competition
- 3rd Place – Regional Level Gita Chanting Competition
- 2nd Place – DSA Annual Swimming Competition, Silchar
- Concept Presenter – Green Booth, Innowave Entrepreneurship Competition, KIIT
- Content Writer – NSS, School of Computer Engineering, KIIT
- Intermediate proficiency in playing Tabla