Selected
Works
A curated selection of projects exploring AI, Multi-Agent Systems, and IoT. Bridging theoretical concepts with practical applications.
15+
Github Repos
6
Major Projects
Multi Agent Control Platform
A high-tech agricultural platform using multiple AI agents and drones to monitor crops and manage smart farming in real-time.
Self-Learning Coding Agent
An autonomous AI agent capable of learning, writing, and debugging code through iterative self-improvement and execution cycles.
View Projectarrow_outwardCrop Yield Prediction & Monitoring
A comprehensive agricultural system that predicts crop yields to aid resource planning. Features an integrated LLM chatbot that allows farmers to query real-time monitoring data naturally.
AI Agents Ad Agency
A fully autonomous simulation of an advertising agency where AI agents collaborate to plan, create, and manage advertising campaigns without human intervention.
View Projectarrow_outwardHey-Bujji
An intelligent digital twin agent designed to act on behalf of its master. It handles interactions and provides insights to unknown users, functioning as a smart automated representative.
View Projectarrow_outwardMedical Chatbot
A specialized RAG-based chatbot trained on medical encyclopedias. It retrieves and generates accurate, context-aware answers to complex health queries and medical definitions.
Google ADK Voice Assistant
A virtual assistant built with the Google Accessory Development Kit. It processes voice commands to perform automation tasks, bridging the gap between software and hardware control.
View Projectarrow_outwardConversational AI Core
A foundational conversational AI model designed to understand natural language nuances and engage in human-like dialogue, serving as a base for complex virtual assistants.
View Projectarrow_outwardResearch Focus
Exploring the frontiers of human-machine interaction and cognitive architectures.
Brain-Computer Interface (BCI)
Investigating direct communication pathways between the brain and external devices. Focusing on non-invasive EEG signal processing for real-time control systems.
Artificial General Intelligence
Developing cognitive architectures capable of reasoning across diverse domains. Researching meta-learning and neuro-symbolic AI to bridge the gap between narrow and general intelligence.