I'm a full-stack developer with a passion for crafting user-friendly interfaces. Recently, I spearheaded the development of a new e-commerce platform that resulted in a 20% increase in conversions. I'm a strong believer in Agile development and love collaborating with cross-functional teams.
A highly motivated full-stack developer with 5+ years of experience. I have a deep understanding of both front-end frameworks like React and back-end languages like Python. In my free time, I enjoy building open-source projects and contributing to the developer community.
front-end HTML, CSS, JavaScript, specific frameworks (React, Django, etc.), Back-end databases (MySQL, MongoDB), and version control systems (Git).
back-end PHP,Javascript,Java,Python,C++,C.
| Project Name | Description | Resource |
|---|---|---|
| Portfolio Template | PORTFOLIO |  |
| Traveling Management System | The Traveling Management System website helps users easily plan and manage their trips. It offers simple tools for booking flights, hotels, and transportation, all in one place. Users can create and customize itineraries, track travel expenses, and get real-time updates on their trips. With features for personal and corporate travel, the system ensures a smooth and hassle-free experience, making travel planning straightforward and convenient. |  |
| Hotel Management System | The Hotel Management System website is designed to streamline hotel operations and enhance the guest experience. It provides an easy-to-use platform for managing reservations, check-ins, and check-outs. Hotel staff can efficiently handle room assignments, track guest preferences, and manage billing. The system also supports inventory management, housekeeping schedules, and real-time reporting. With a focus on improving operational efficiency and customer satisfaction, this website ensures a smooth and hassle-free hotel management experience. |  |
| Event Management System | The Event Management System website simplifies the planning and execution of events of all sizes. It offers tools to manage event registration, ticketing, scheduling, and venue logistics. Users can easily create event pages, track attendance, and handle payments. The system also supports communication with attendees through automated emails and notifications. With features for budgeting, vendor coordination, and real-time reporting, this website ensures seamless event planning, making it easy to organize successful and memorable events |  |
| Truism Management System | The Tourism Management System website is designed to help tourism businesses manage and promote their services effectively. It offers tools for booking tours, accommodations, and activities, all in one place. Users can explore travel packages, make reservations, and customize itineraries. The system also provides marketing tools to attract visitors, manage customer relationships, and track feedback. With features for inventory management, pricing, and real-time updates, this website ensures a smooth experience for both travelers and tourism operators. |  |
| Project Name | Description | Resource |
|---|---|---|
| KHOT Chat App | The KHOT Chat Android application is a modern messaging platform designed for fast and secure communication. It offers real-time chat, voice, and video calling features, all within an intuitive interface. Users can create group chats, share multimedia files, and enjoy end-to-end encryption for privacy. The app also supports customizable themes, notifications, and seamless integration with contacts. Whether for personal or professional use, KHOT Chat provides a reliable and user-friendly experience for staying connected with friends, family, or colleagues. |  |
| Project Name | Description | Resource |
|---|---|---|
| Advance Sentiment Analysis Transformer (ASAT) | Advanced sentiment analysis involves using deep learning models, particularly transformers like BERT (Bidirectional Encoder Representations from Transformers), to determine the sentiment (positive, negative, neutral) of a given text. The process begins with tokenization, where text is split into tokens. These tokens are then converted into embeddings, which are numerical vectors representing the semantic meaning of words. The transformer model processes these embeddings using layers of self-attention and feed-forward networks to capture contextual relationships within the text. The output is passed through a classifier that assigns sentiment labels based on the processed data. |  |
| NLP Projects | Transformers in NLP: Transformers revolutionize Natural Language Processing (NLP) by using attention mechanisms to handle sequences of text. They excel in Natural Language Understanding (NLU) tasks like sentiment analysis and question answering, and in Natural Language Generation (NLG) tasks such as text completion and translation. Python, with libraries like Hugging Face's Transformers, provides powerful tools to implement, fine-tune, and deploy these models efficiently. |  |
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