Hello, I'm Abhinava Chakraborty

Multi-Functional Calculator Web App

This project is a multi-functional calculator web application that provides basic arithmetic, scientific operations, and unit conversion capabilities within a single interface. The application was built using HTML, CSS for styling, and JavaScript for implementing the core logic and interactive functionalities.

The calculator features a responsive design that adapts to various screen sizes, ensuring a seamless experience across devices. It includes functionalities such as trigonometric calculations, logarithmic operations, and real-time unit conversions. Additional features include error handling for invalid inputs and a clean, user-friendly interface designed for efficiency and ease of use.

Voice Assistant

This project is an intelligent voice assistant inspired by JARVIS, designed to recognize speech commands and execute a variety of tasks through voice interaction. The system was built using Python, integrating libraries such as SpeechRecognition for voice input, pyttsx3 for text-to-speech conversion, and additional APIs for performing actions like opening applications, searching the web, and providing system information.

The assistant features hands-free operation and supports commands for sending emails, playing music, checking the time/date, and automating basic workflows. It is optimized for accurate voice recognition and smooth response generation, ensuring an interactive and efficient user experience. Future enhancements include integrating natural language understanding for conversational capabilities and adding IoT device control.

Exploratory Data Analysis on Titanic Dataset

This project is an in-depth exploratory data analysis (EDA) of the Titanic dataset, aimed at uncovering survival trends and key feature correlations. The analysis was conducted using Python, leveraging Pandas for data manipulation, Matplotlib and Seaborn for advanced visualizations, and NumPy for numerical operations.

The dataset consisted of over 1,300 passenger records, and the project focused on cleaning missing values, handling categorical variables, and generating insights into survival probabilities based on factors like age, gender, passenger class, and family size. The analysis revealed significant correlations and patterns that influenced survival rates. The project also includes visually appealing plots such as histograms, heatmaps, and bar charts for better interpretation of the findings.

Smart Routine Scheduler Web App

The Smart Routine Scheduler Web App is a modern and intelligent productivity tool designed to help users efficiently manage their daily schedules and routines. The application allows users to create, edit, and organize multiple routines with customizable time slots, subjects, and activities, making it ideal for students and professionals alike.

One of the key features of this application is its real-time tracking system, which dynamically highlights the current ongoing task or class and provides a visual progress indicator. It also intelligently detects and displays the next upcoming task, helping users stay ahead of their schedule without confusion or manual tracking.

The user interface is designed with a strong focus on modern UI/UX principles, incorporating smooth animations and interactive elements. Advanced visual enhancements using Three.js add subtle 3D effects, creating a premium and engaging user experience across both desktop and mobile devices.

Additional functionalities include responsive design for cross-device compatibility, intuitive dashboard navigation, and structured layout for easy readability. The system is optimized for performance and usability, ensuring a seamless experience even with multiple routines and complex schedules.

Key Features:

• Real-time class tracking
• Upcoming schedule detection
• Interactive UI with animations
• 3D visual effects using Three.js
• Fully responsive design
• Clean dashboard

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

This professional certification demonstrates expertise in improving deep neural networks through advanced hyperparameter tuning, regularization methods, and optimization techniques. The certification validates the ability to enhance model accuracy, prevent overfitting, and accelerate training using state-of-the-art practices in deep learning.

Demonstrates expertise in optimizing deep neural networks through hyperparameter tuning, regularization, and advanced optimization techniques, with a strong focus on improving accuracy, preventing overfitting, and applying deep learning best practices.

Issued: August 2025
Expires: Life Time
Credential ID: No ID

Neural Networks and Deep Learning

This certificate program provided hands-on experience in understanding the fundamentals of neural networks and building deep learning models. The program covered key concepts such as forward and backward propagation, activation functions, gradient descent, and the role of hidden layers in learning complex patterns.

Key skills gained include implementing neural networks from scratch, understanding deep learning architectures, applying optimization algorithms, and improving model accuracy. The program also introduced practical applications of deep learning in real-world scenarios.

Issued: August 2025
Credential ID: No ID

Strategy and Game Theory for Management

This certificate demonstrates proficiency in applying strategic thinking and game theory principles to management and decision-making processes. The certification validates skills in analyzing competitive business scenarios, designing optimal strategies, and leveraging game-theoretic models for effective organizational planning.

Key skills covered include strategic analysis, Nash equilibrium concepts, decision-making under uncertainty, negotiation tactics, competitive advantage frameworks, and practical applications of game theory in business and management.

Issued: January 2025
Credential ID: No ID