DocBot is an AI-powered platform designed to facilitate interaction with documents through conversational AI. Users can create a bot, feed it documents, and instantly get answers to their queries. The platform supports document uploads, website sharing, and manual text entry to enrich the bot's knowledge base. This tool is useful for answering questions, facilitating research, and collaborating with friends or colleagues in real-time.

Memento Database is a versatile, cross-platform app that allows users to design, manage, and analyze data structures effortlessly. It features seamless collaboration, robust permission control, customizable data views, comprehensive dashboards, offline functionality, smart device features, and deep integration with Google services. The app offers powerful querying, JavaScript automation, and custom report generation, making it suitable for both personal and business use.

The Multi Agent Robotic System project offers a modular Python-based platform for developing, simulating, and deploying cooperative robotic teams. At its core, it implements decentralized control strategies, enabling robots to share state information and collaboratively allocate tasks without a central coordinator. The system includes built-in modules for path planning, collision avoidance, environment mapping, and dynamic task scheduling. Developers can integrate new algorithms by extending provided interfaces, adjust communication protocols via configuration files, and visualize robot interactions in simulated environments. Compatible with ROS, it supports seamless transitions from simulation to real-world hardware deployments. This framework accelerates research by providing reusable components for swarm behavior, collaborative exploration, and warehouse automation experiments.