Sharadha Shivakumar

Sentiment-Analysis-on-TikTok-reviews

• Tech Stack: NLP, Multinomial Naive Bayes, Jupyter Notebook
• Github URL: Project Link

Data Cleaning: Cleaned and prepared review data by removing noise, URLs, and stopwords.

Visualization: Created visualizations to show sentiment distribution and common words.

Sentiment Classification:Used VADER sentiment analysis tool to classify reviews as positive, negative, or neutral.

Machine LearningBuilt a Multinomial Naive Bayes model for sentiment prediction.

Accuracy:Achieved a 79% accuracy in classifying sentiments.

Insights:Revealed insights into user sentiments, aiding app improvement decisions.

Suspicious Motion Detection

• Tech Stack: Python,OpenCV (for image processing and computer vision tasks),Local Histogram Algorithm (used for motion detection)
• Github URL: Project Link

Project Design and Implementation: Designed and implemented a real-time motion detection system.

Problem Solving: Developed an algorithm to identify suspicious motion patterns and trigger alerts.

Image Processing:Processed video frames to detect and highlight areas with motion.

Python Programming: Utilized Python for scripting and coding the project.

Algorithm Implementation: Implemented the Local Histogram Algorithm to detect motion and changes in the video frames.

Computer Vision: Leveraged OpenCV library to work with images and video streams for motion detection and analysis.

Iris & Image K-means Clustering

• Tech Stack: Self-implemented K-means algorithm, Python, Jupyter Notebook

Overview self-developed K-means algorithm, tailored to two distinctive datasets: Iris Flowers and Handwritten Digit Images.

Iris Flowers Dataset: Precisely categorize 150 iris flowers based on sepal and petal measurements, achieving an outstanding 91% accuracy in clustering.

Handwritten Digits Images Dataset:Uncovering the hidden patterns in 10,000 handwritten digits images with a commendable 77% clustering accuracy.

Organic Product Store

• Tech Stack:

  HTML, CSS, JavaScript: Front-end structure and interactivity.

  JSP, Bootstrap, jQuery: Enhanced user interface and responsiveness.

  MySQL: Back-end database for product and user data.

• Github URL: Project Link

Introduction: Explore a seamless online platform for browsing and purchasing organic products.

Scope and Objectives: Shop conveniently from home with user-friendly product selection and ordering.

Efficient E-Commerce: Secure checkout, admin dashboard, and inventory tracking for a streamlined shopping experience.

Customer Engagement: Special offers, responsive design, and customer support to enhance user interaction.

User Authentication: Features include user registration, login, and logout functionality for personalized experiences.

Architecting an Educational IT Enterprise

• Architectural Analysis: Meticulously assessed architectural requirements for scalability, performance, and maintainability.
• Architecture Pattern Selection: Carefully chose an architecture pattern tailored to the unique demands of the education industry.
• Architectural Implementation: Expertly implemented the chosen architecture pattern to meet significant requirements.
• Software Security Expertise: Implemented robust security measures to safeguard sensitive data and fortify against threats.
• Interoperability Strategies: Designed strategies for seamless integration with existing educational technologies, enabling efficient data exchange.

Overview: This project that I designed showcases my skills in architecting and designing a sophisticated IT enterprise software system for the education sector.

Architectural Excellence: My analysis, pattern selection, and implementation skills ensure a seamless alignment between requirements and architecture.

Security Mastery: Demonstrated expertise in fortifying the software system through effective security measures.

Interconnectivity Proficiency: Crafted strategies for harmonious interoperability with existing technologies, enhancing collaboration.

Airline Management System with Multi-Tier Integration

• Tech Stack:

  Java, Oracle SQL, Swing, Servlets, JSP, Android Studio, NetBeans

• Database Design:Created an ER diagram with 16 tables for flights, passengers, employee points, awards, and more. Implemented the schema and populated data.
• SQL Testing App: Carefully chose an architecture pattern tailored to the unique demands of the education industry.
• Web Interface: Developed a user-friendly Java application for dynamic Oracle SQL query testing.
• Mobile App: Designed web pages using Java Servlets and JSP to interact with the database, including a secure login system. Each user login was verified in the backend for the respective username and password.
• Outcome: This project streamlines airline operations, ensuring data accuracy and accessibility across platforms with a secure login system, backed by robust user authentication