This project focuses on optimizing AWS cloud resources (EC2, RDS, and ECS) using AI-driven techniques. It addresses inefficiencies in traditional cloud resource management by leveraging LSTM models for workload forecasting and RL for dynamic resource scaling. The system integrates AWS CloudWatch for data collection, processes real-time metrics, and automates scaling to enhance performance, cost efficiency. This project focuses on optimizing AWS cloud resources using AI-driven techniques.
Security and cryptocurrency wallet use are still at the center of the issues with blockchain adoption. Seed phrase-based physical wallets…
The existing traditional e-commerce systems struggle to focus the user query to give a relevant product recommendation at the end…
“The wristGuard application employs a hybrid approach, combining deep learning models for feature extraction and stacking ensemble method for classification…
“The COVID-19 epidemic changed IT industry processes by hastening the introduction of remote work. In virtual workplaces, detecting employee engagement…
“VRoxel is an innovative procedural generation system that addresses critical challenges in creating large-scale 3D environments for VR applications. The…
Block-based programming (BBP) has proven effective in teaching programming concepts, offering a visual and more intuitive approach than traditional text-based…
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