Third-Year B.Tech CSE Student passionate about AI/ML, Data Science, Web Development, Android Development and Cybersecurity.
Building intelligent solutions
Hello! I'm **Rohan Bhowmik**, a passionate B.Tech Computer Science Engineering student with a strong interest in **Artificial Intelligence, Machine Learning, Data Science, and Web Development**. I enjoy transforming ideas into innovative digital solutions and continuously exploring emerging technologies that create real-world impact. My journey in technology has led me to build a diverse range of projects, including AI-powered chatbots, hand gesture recognition systems, sentiment analysis dashboards, personal voice assistants, Android applications, and modern web platforms. Through hands-on learning and practical implementation, I have developed a strong foundation in problem-solving, software development, and intelligent systems. Beyond technical skills, I am committed to continuous learning, improving my communication abilities, and collaborating on meaningful projects that challenge me to grow. My goal is to leverage technology to build smart, user-focused solutions that make a difference while continuously evolving as a developer, innovator, and lifelong learner.
Projects Completed
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My journey of learning, building real-world projects, and gaining practical experience across multiple technologies.
Developed responsive and modern websites using HTML, CSS, and JavaScript. Built multiple real-world projects including Netflix Clone, Spotify Clone, Hotel Booking Website, E-Learning Platform, Weather Dashboard, Movie Finder, Food Delivery Website, Product Catalog Page, Product Landing Page and many more with a strong focus on clean UI, responsive design, and user experience.
Gained practical experience in Data Science by working on Exploratory Data Analysis (EDA), Feature Engineering, Unsupervised Learning(Customer Segmentation Analysis), E-Commerce Product Return Sustainability Prediction, Supervised-Learning-Fraud-Detection-Pipeline, E-Commerce Product Return Sustainability Prediction, NLP & Sentiment Analysis and data visualization to extract meaningful insights from real-world datasets.
Built intelligent AI applications including AI Smart Chatbot, A* Maze Solver, Hand Gesture Recognition, Personal Voice Assistant, Medical Diagnosis Assistant, and AI Sentiment Analysis Dashboard using Python, Flask, Machine Learning & Computer Vision & NLP Sentiment Analysis Dasboard.
Successfully completed internships and hands-on training while developing 25+ real-world projects across Web Development, Data Science, AI/ML, and Android Development. Collaborated on industry-oriented projects, enhanced problem-solving skills, Quick learning, Critical Thinking, Adaptability, Time Management and gained practical experience in modern software development workflows.
Currently developing a next-generation intelligent application designed to solve real-world problems through creativity, modern web technologies, and AI-powered features. The project is under active development and will be unveiled soon as one of my most ambitious creations.
Flagship Project (Coming Soon)An interactive online learning platform designed to provide access to educational resources, courses, and skill development opportunities.
Live DemoA movie discovery application that helps users search for films, explore details, and enhance their entertainment experience.
Live DemoA modern calculator featuring a responsive interface and smooth user experience for performing mathematical operations.
Live DemoA responsive temperature conversion tool that converts values between Celsius, Fahrenheit, and Kelvin instantly.
Live DemoAn interactive age calculator that accurately determines age in years, months, and days based on the user's date of birth.
Live DemoA sleek stopwatch application with start, pause, reset, and lap functionality.
Live DemoA visually appealing product showcase platform that allows users to explore products through an organized and responsive interface.
Live DemoAn AI-powered sentiment analysis dashboard developed using Machine Learning, Python, API and Natural Language Processing (NLP). The system analyzes user reviews and classifies them as Positive, Negative, or Neutral while providing meaningful insights through an interactive dashboard.
Live DemoAn AI-powered Medical Diagnosis Assistant developed using Machine Learning and Natural Language Processing (NLP) techniques. The system analyzes user symptoms and provides intelligent health insights, possible disease predictions, and preliminary recommendations to support healthcare decision-making.
Live DemoA responsive food ordering platform that allows users to browse menus, explore food items, and enjoy a modern online ordering experience.
Live DemoWomen's safety application developed using Android Studio with emergency assistance features.
View Source Download APKAn AI-based pathfinding project implementing the A* Search Algorithm to identify the most efficient route through a maze. The project showcases heuristic search techniques and intelligent decision-making used in real-world navigation systems.
Source CodePerformed comprehensive data analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn. Identified trends, patterns, correlations, missing values, and generated meaningful business insights through data visualization.
Source Code View NotebookA Data Science project that uses customer behavior, purchasing patterns, and demographic data to identify distinct customer groups. The analysis helps businesses understand customer needs, improve marketing strategies, and enhance customer engagement through data-driven decision-making.
Live Demo Source Code View NotebookAn AI-powered NLP dashboard that analyzes customer reviews and classifies them as Positive, Negative, or Neutral using Machine Learning and Natural Language Processing. The project includes an interactive frontend built with HTML, CSS, and JavaScript, a Flask backend, and a complete Jupyter Notebook for data preprocessing, model training, and evaluation.
Live Demo Source Code View NotebookA machine learning-based Data Science project that predicts product return likelihood in e-commerce businesses, helping companies reduce operational costs, improve sustainability, and optimize customer satisfaction.
Source Code View NotebookA Data Science project focused on extracting valuable insights from raw data through advanced exploratory analysis, feature engineering, data visualization, and preprocessing techniques.
Source Code View NotebookGmail: bhowmikrohan83@gmail.com
GitHub: Visit GitHub
LinkedIn: Visit LinkedIn
Instagram: @rohan_._.bhowmik.84
Contact Number: +91-7982914191
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