A brief intro about myself
I am a Computer Science and Engineering student from KIIT University (Bhubaneswar), persuing B.tech Degree (3rd Year) with a CGPA above 8.5 . Hailing from West Bengal, I bring a multilingual proficiency, fluent in Hindi, English, and Bengali, allowing me to effectively communicate and collaborate across diverse teams. I have a clear understanding of numerous data structures and have developed a very efficient problem solving ability .
I completed my schooling from Nursery to Class 12 at DAV Public School, Midnapore (721101), achieving 93.8% in my Class 10 Board Exam and 92.2% in Class 12. I was born on September 18, 2002, and my Nationality is Indian. I excel in problem-solving skills related to Data Structures and Algorithms, and I am proficient in executing complex database queries using SQL and PL using tools like MySQL Workbench , PowerBI , Tableau , Excel etc.
I have recently completed my third year in B.Tech . In these 6 successful semester, I have learned and developed various programming skills & languages like C , C++ , Java , Python , HTML , CSS , JS , AWS , Google Cloud Platform , Git & Github. I am eager to leverage my technical skills, academic achievements, and multilingual abilities to contribute to challenging projects and further enhance my expertise in the field of computer science and after each passing day, I am confident that my skills will be improving
My key Projects
By the time , I have done some of the projects based on Machine Learning , Artificial Intelligence, Database Management System , Web Development , APIs etc. All the projects are uploaded on my github profile . YOu can view the source code by clicking the button below .
Sign Language Detector
A model that can recognize and interpret various sign language gestures one based on LSTM and another using Teachable Machine. The LSTM model allows real-time hand sign detection through your computer's camera.Teachable Machine utilizes a pre-trained model generated using your custom dataset of hand sign images. Both models are capable of real-time sign language detection.
Lensify Application
Lensify is a Streamlit web application that identifies landmarks from uploaded images using a TensorFlow model. It provides detailed information about the predicted landmark, including location, significance, and history, and displays the location on a map. Users can also navigate to the landmark using a provided Google Maps direction link.
Chatbot
This model is built using FastAPI and Dialogflow. It handles various functionalities such as adding items to an order, removing items from an order, completing an order, and tracking an order status. The chatbot interacts with a MySQL database to store and retrieve order information.
Emotion Predictor
This project uses OpenCV and Keras to detect human emotions in real-time through a webcam. The model predicts emotions such as Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise.The face is detected using the Haarcascade classifier. It uses Python 3.x, OpenCV, Keras, TensorFlow, NumPy
Coursework , Tools and Languages Known
I have completed courses in Data Structures and Algorithms, Object-Oriented Programming, Operating Systems, Database Management Systems, Computer Networks, Software Engineering, AI and Machine Learning, Web Development, and Cloud Computing.
I have learned various programming languages including C, C++, Java, Python, PL, SQL, HTML, CSS, and JavaScript, as well as essential tools such as Git, GitHub, VSCode, AWS, Google Cloud Platform, PowerBi, Tableau etc. Mastering these languages and tools is crucial in the real world for software development, web development, database management, version control, and cloud computing, enabling the creation of robust, scalable and efficient applications.
