Develop an immersive virtual lab for cybercrime investigations, focusing on cloud breaches, cryptocurrency fraud, and blockchain anomalies. Create customizable environments where students can simulate real-world forensic scenarios. The solution must include a detailed lab manual with step-by-step instructions and pre-configured setups, providing an interactive and hands-on experience for solving modern digital crimes.

Develop a scalable AutoML-MLOps platform prototype with the following requirements: integrate an end-to-end ML workflow using open-source AutoML tools, and design intuitive UI wireframes that ensure a seamless user journey. The solution should focus on scalability and ease of use, providing a fully functional prototype that streamlines the machine learning lifecycle from data ingestion to deployment.

Develop a method to predict tool wear or failure in a machining center based on vibrational data from the machine

A standalone path tracing renderer is a software application that uses the path tracing algorithm to generate photorealistic images. By simulating the physics of light, path tracing can produce highly accurate and visually stunning renderings. Integrating AI into this process can enhance the capabilities of the renderer and provide additional benefits.

Upscaling involves increasing the resolution of an image or video sequence, making it appear larger or sharper. Traditional upscaling methods often result in artifacts and blurriness. AI-based upscaling techniques leverage advanced machine learning algorithms to produce higher-quality results.

Develop an autonomous navigation system for a robot that utilizes Large Language Models (LLMs) to understand and execute speech commands in Indian English. The RoboGuide application should enable the robot to navigate complex indoor environments—such as healthcare wards, offices, and homes—by interpreting spoken directions and guiding itself to specific locations like kitchens, rooms, or other landmarks. Utilize technologies like ROS (Robot Operating System) and advanced speech recognition to create a seamless interaction between users and the robot, ensuring accurate and efficient navigation based on natural language commands.

Develop an Android-based VoiceBot application that leverages Large Language Models (LLMs) to enable natural, human-like conversations with users. The app should listen to user speech in Indian English, interpret the intent using LLMs, and provide intelligent, real-time responses. The goal is to create a seamless conversational experience where the VoiceBot can understand emotions, context, and respond as fluidly as a human assistant.