Mayank Meghwal

A web-based face attendance system that uses the webcam to capture a real-time image, recognizes faces using pre-saved encodings, and logs attendance with timestamps into a CSV file.

A fully offline, privacy-preserving AI customer support platform designed to operate entirely on local infrastructure. This system integrates Retrieval-Augmented Generation (RAG), speech recognition, text-to-speech synthesis, and conversational reasoning powered by a local large language model.

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Rapid and accurate diagnosis of COVID-19 from chest X-ray images can significantly improve patient outcomes and relieve stress on healthcare resources. In this project, the task is to build a multi-class classification model capable of distinguishing between COVID-19, viral pneumonia, and normal chest X-ray images using the provided dataset.

Config files for my GitHub profile.

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This project is a production-ready Network Security ML pipeline that automates data ingestion, validation, transformation, model training, evaluation, and deployment using MLOps best practices. It ensures data quality, handles drift, selects the best model, and deploys the system on AWS using Docker and CI/CD.

This project predicts students’ math performance based on demographic and academic attributes such as gender, parental education, lunch type, test preparation, and reading/writing scores.

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This project implements a complete multimodal authentication system that combines face liveness detection, depth-map analysis, eye gaze tracking, and audio verification. It uses computer vision, convolutional neural networks, and audio processing to determine whether a user is genuine or spoofed.

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Here are some of my projects on full stack web development like registration form, Blog website and money tracker.

SkillShare App : A Social media platform created for alerting on Job, Internship and to share the study material according to the requirement of the user by posting the post in this application.

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Customer Segmentation aims to categorize a company's customer base into distinct groups to enhance understanding of their behaviors and preferences. Clustering algorithms like K-means are applied to segment customers based on features such as purchasing behavior and demographics.

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A Python-SQL Digital Ledger for Police Post Logs

India's agricultural sector is vital for the economy, but the management of agricultural data remains a challenge due to its complexity, fragmented nature, and lack of easy access. Various stakeholders such as farmers, policymakers, and researchers face difficulties in accessing, analyzing, and making informed decisions based on agricultural data.

11 Lessons to Get Started Building AI Agents

Employee turnover poses a significant challenge for organizations, resulting in increased costs, reduced productivity, and team disruptions. Understanding the factors driving attrition and predicting at-risk employees is critical for effective retention strategies.

The Multiple Disease Prediction System is a promising tool for enhancing healthcare accessibility and efficiency. By integrating advanced machine learning techniques with user-friendly interfaces, the system bridges the gap between technology and healthcare.

NLP-based sentiment classifier for user reviews using TF-IDF, Naïve Bayes, and Transformer models, deployed via Streamlit for real-time insights.

Forest Fire: A Machine Learning based prediction which will predict the FWI based on the multiple features like humidity, rainfall, temperature, etc.