Low-light image enhancement project using Python and CNN. Utilized a custom multi-branch model built with TensorFlow and Keras, incorporating OpenCV for image processing.
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Developed a spelling checker and suggestion system using Trie and hash table for word validation in user inputs and files. Implemented a dynamic spelling suggestion system that offers up to 5 relevant corrections, leveraging a hash table for efficient storage and enhancing user experience.
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calculator in C with a command-line interface (CLI). Features extensive mathematical operations, including arithmetic, sequence, complex, vector, number system conversion, fraction, permutation, combinations, matrix operations, and linear equation solving.
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Desktop website using HTML, CSS, and JavaScript for seamless online cake exploration and orders. Leveraged JavaScript for precise form validations on booking and payment pages, ensuring data accuracy.
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HTML, CSS, and JavaScript power a simple password generator web page. Users can swiftly generate and copy random passwords, with a design that adjusts seamlessly to various screen sizes.
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Analyzed Ronaldo's club performance data, visualized goals and season-wise trends, and applied linear regression for predictive insights using Data Science and Machine Learning.
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Examined Vaccination Progress, Identified Hotspots, and conducted a Statewise Analysis. Studied COVID-19 cases in Indian states and union territories with precision and consistency, employing meticulous data preprocessing.
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The calculator GUI features a title, input display, numeric buttons, arithmetic operation buttons, and a clear button. The arithmetic operations include addition, subtraction, multiplication, and division.
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Repository consisting of over 30 basic-level, beginner-friendly MIPS Assembly Language programs for practice using QtSPIM
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Crafted a diverse collection of over 40 eye-catching thumbnails, showcasing a dedicated commitment to consistent and exceptional design work with Canva.
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Elevated the classic Snake game in Java with advanced features including expanded controls using alphabet keys, a pause-resume functionality, introduction of bonus points and poison elements, immunity ability, and a convenient restart option.
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The system will streamline invoice processing by automatically extracting key information and intelligently auto-filling corresponding form fields. It aims to develop a robust and efficient solution for automating invoice detail extraction and seamless form population.
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This system detects fake news by leveraging machine learning models to analyze and classify news articles. Developed with React for the frontend and Flask for the backend, it utilizes Logistic Regression, Decision Trees, and Random Forest models to provide an efficient solution for identifying misinformation and ensuring the accuracy of news content.
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This IoT-based waste management system uses ESP32 microcontrollers, ultrasonic sensors, and LoRa communication. It connects devices via MQTT to HiveMQ and leverages InfluxDB for cloud data storage, with machine learning models on Amazon SageMaker and Google Colab for predictive analytics.
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This project generates images from text prompts using a React frontend and a Flask backend. The system sends text inputs to a Hugging Face model, retrieves the generated image, and displays it on the web page.
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A web application that allows users to create posts and add comments with custom formatting such as bold, italic, and hyperlinks. It uses React for the frontend, Flask for the backend, and SQLite for data storage, showcasing seamless CRUD operations.
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A React and Flask-powered web application that collects world trade data and country statistics via web scraping with BeautifulSoup. It utilizes the Gemini model to generate trade summaries and enable interactive question-answering, providing users with detailed insights and analysis in an intuitive interface.
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