A smart inventory management system that includes real-time stock tracking, supplier management, predictive analytics for inventory forecasting, and detailed reporting capabilities, built with PHP, MySQL, and Python.
A thesis project for a smart IoT-based septic tank monitoring system that utilizes an ultrasonic sensor (JSN-SR04T), Arduino, ESP32, LoRa SX1278, SIM800L EVB GSM module, Firebase, and a web application. This system provides real-time monitoring, predictive analytics, SMS alerts, and dynamic visualization for efficient septic tank management.
PilarEaseDJO is a Django-based platform for emotion management and sentiment analysis, featuring user authentication, status posting, emotion filtering, machine learning integration, chatbot interaction, and administrative tools.
Use of Real-time data from Amazon site to gather reviews for Sentimental Analysis resulting futuristic prediction of product
Fertility Diagnoser is a web application that utilizes machine learning to predict fertility levels. By inputting relevant data such as age and other factors, users can receive personalized predictions about their fertility. The application seamlessly integrates React and Python, offering a user-friendly interface and accurate predictions.
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