Shubham-Singla259/Speaker-Verification-System

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Shubham-Singla259/Shubham-Singla259

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Shubham-Singla259/Number-Plate-Recognition-System

A Number Plate Recognition system using CNN detects and reads vehicle number plates from images. The model, trained on a number plate dataset, extracts characters in different orientations and lighting conditions. It is useful in traffic monitoring, vehicle identification, and security applications.

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Shubham-Singla259/Application-Tracking-System-ATS-

This project is an Applicant Tracking System (ATS) that allows users to upload resumes in PDF format, analyze them using Google Generative AI, and compare them with job descriptions. The system provides insights and evaluations based on the uploaded resume's content, including a percentage match against the job description.

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Shubham-Singla259/Driver-Drowsiness-Detection-System

A Driver Drowsiness Detection System using deep learning is a technology that helps prevent accidents by detecting when a driver is sleepy. It uses cameras to monitor signs like frequent blinking or yawning and alerts the driver to keep them awake and safe on the road.

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Shubham-Singla259/Speech-To-Text

This Python script transcribes audio files to text, analyzes word usage, and visualizes the audio waveform. It's perfect for interviews, lectures, or any audio you want to understand better!

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Shubham-Singla259/Book-Recommendation-System-using-Machine-Learning

A book recommendation system using machine learning is designed to provide personalized reading suggestions to users based on their preferences, reading history, and behavior. The system employs various machine learning algorithms and techniques to analyze large datasets and predict the likelihood of a user enjoying a particular book.

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Shubham-Singla259/New-Word-Predictor

The "New Word Predictor" is a smart writing tool that helps you type faster and better. As you type, it suggests words and phrases to complete your sentences. It learns from how you write and adapts to your style over time, making it easier for you to express yourself and discover new words effortlessly.

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Shubham-Singla259/Name-Entity-Recognition-App

The Name-Entity-Recognition (NER) App uses natural language processing to identify and categorize named entities in text, such as names, organizations, and locations. It supports data extraction, content classification, and automated tagging, making it useful for data analysts and content managers.

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Shubham-Singla259/Blog-Generator-Web-App

This Streamlit app generates custom blog posts using the LLama 2 language model. Users can specify the topic, word count, and audience type (Researchers, Data Scientists, Common People) to tailor content. Ideal for content creators needing quick drafts or idea generation.

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Shubham-Singla259/RockyBot-News-Research-Tool-with-LLM-LangChain

RockyBot is a Streamlit web app utilizing LangChain and OpenAI for real-time news article analysis. Users input URLs, the app processes text for insights, and allows context-based queries with advanced NLP technologies.

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Shubham-Singla259/Netflix

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Shubham-Singla259/Bharat-Intern-

using machine learning algorithm.

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