I am a 6th-semester student at NIT Srinagar, passionate about technology and innovation. With a strong foundation in front-end development and back-end development, I enjoy creating visually appealing and user-friendly web interfaces. My internship at Yarikul Infotech allowed me to strengthen my skills in web development, working with JavaScript, HTML, CSS, SQL, PHP, and the Laravel framework. I gained hands-on experience in both frontend and backend development, building dynamic and responsive web applications. This experience fueled my passion for creating efficient, user-friendly solutions and deepened my understanding of full-stack development.
Download ResumeDeveloped a web-based application using the Laravel framework along with HTML, CSS, JavaScript, PHP, and MySQL. Implemented a role-based access control (RBAC) system, where permissions are assigned to users based on their roles, ensuring secure, scalable, and well-organized user management.You can view the project on GitHub by clicking . here
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Developed a comprehensive news summarizer and translator application using Python, which integrates several advanced functionalities to enhance user experience. The application utilizes the Newspaper3k library to fetch and parse news articles, and TextBlob for natural language processing to generate concise summaries and analyze sentiment. It offers a graphical user interface built with Tkinter, allowing users to easily input article URLs, view detailed summaries, and receive sentiment analysis. Key features include multi-language translation via Google Translate API, text-to-speech capabilities with pyttsx3 for auditory feedback, and options to save as textfile or copy the summarized content. The application’s user-friendly interface and robust error handling ensure a seamless and informative experience for users seeking quick insights into news articles across different languages.You can view the project on GitHub by clicking . here
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This project integrates advanced computer vision features to enhance facial recognition and detection. Using OpenCV for real-time webcam input and Dlib's face detector for smile detection, the script also utilizes the face_recognition library for identifying known individuals by matching facial encodings. It includes a blink detection mechanism with the Eye Aspect Ratio (EAR) to distinguish between live and static faces, crucial for security applications. Additionally, the system detects smiles, providing user-friendly feedback. The combination of real-time recognition, blink detection, and smile detection makes this script versatile for secure access systems and interactive experiences. View the project on GitHub by clicking . here
Developed a university chatbot using Python and TensorFlow, leveraging NLP and machine learning to improve student interactions. The chatbot addresses queries about courses, schedules, campus facilities, deadlines, and academic support. It utilizes NLTK for tokenization and lemmatization, and TensorFlow for training, to accurately predict user intents and deliver relevant responses. The dynamic HTML interface, integrated with Jupyter notebooks, features a styled chat layout with color-coded responses for an enhanced user experience. The model, trained on diverse data, is saved in HDF5 format for efficient deployment. This project showcases expertise in machine learning, NLP, and web-based UI design. View the project on GitHub by clicking here
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I have developed a restaurant website using HTML, JavaScript, and CSS, featuring a comprehensive set of functionalities to enhance the user experience. The site includes an intuitive Add to Cart feature, allowing users to easily select and review their chosen dishes before proceeding to checkout. For user management, the Login In and Registration functionalities provide secure access and personalized experiences. Additionally, a Payment Option is integrated, enabling users to complete their orders seamlessly online. This website not only showcases effective use of front-end technologies but also demonstrates the implementation of essential e-commerce features, creating a user-friendly platform for online restaurant services.You can view the project on GitHub by clicking . here
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The IIT Jammu website clone, developed using HTML, CSS, and JavaScript, is a project designed to replicate the look and feel of the official IIT Jammu site while showcasing web development skills. . This project demonstrates proficiency in creating a polished and functional web experience, effectively mimicking the user interface and experience of the IIT Jammu website.You can view the project on GitHub by clicking . here.
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I am currently in my sixth semester of pursuing a B.Tech in Information Technology at NIT Srinagar. This phase of my education has been particularly enriching, as I have delved deeper into core subjects and advanced topics in technology. My coursework has included a mix of theoretical knowledge and practical applications, which has significantly enhanced my problem-solving skills and technical expertise. I am excited to continue expanding my knowledge and skills in this dynamic field as I progress further in my studies.
I have completed my 12th grade from Government Girls Higher Secondary,Amirakadal School . My time there was instrumental in building a solid foundation in science and mathematics, which sparked my interest in pursuing a career in technology.
From last few years, I have put much efforts in learning and improving my skills. Here are some of them!
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