International Journal of Innovative Research in Computer and Communication Engineering

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TITLE ProTask AI: GenAI Integrated Task Manager
ABSTRACT ProTask AI: GenAI Integrated Task Manager is an intelligent task management system that combines generative AI, natural language processing, and artificial intelligence (AI) technologies to increase productivity. By enabling users to create, amend, and manage tasks using natural conversational inputs rather than tedious form-based interactions, the system gets beyond the drawbacks of conventional task managers. Through the Ollama framework, it makes use of a locally deployed Large Language Model (LLM), guaranteeing data privacy, lower latency, and real-time processing without depending on outside cloud services. The main feature is a conversational interface that allows users to give unstructured commands using both text and speech-to-text input. After interpreting user intent, the AI pulls task details—such as description, deadline, priority, and reminders—and transforms them into structured JSON format so that they may be processed. Secure REST APIs created with FastAPI manage this data and enable effective CRUD operations. Accuracy and consistency are improved through the integration of LangChain with rapid engineering, context management, and structured data extraction. FastAPI is used in the backend for scalability and high speed, and MongoDB is used to safely store task and user data. Along with visualization options like calendar views and progress charts for efficient tracking, the system also provides automated email and browser notifications for timely reminders. In contrast to current systems, ProTask AI ensures modularity, maintainability, and adaptability with a tiered architecture that includes User Interface, Application, AI, Database, and Notification levels. The system offers a user-friendly, effective, and privacy-focused solution that streamlines job management and boosts overall productivity by fusing conversational AI, speech recognition, and intelligent automation.
AUTHOR M.V. GAAYATHRI, DR. K. SANTHI SREE Post Graduate Student, Department of Computer Science Engineering, Data Science, Jawaharlal Nehru Technological University, Hyderabad, India Professor and Head, Department of Computer Science Engineering, Jawaharlal Nehru Technological University, Hyderabad, India
VOLUME 185
DOI DOI: 10.15680/IJIRCCE.2026.1406035
PDF pdf/35_ProTask AI GenAI Integrated Task Manager.pdf
KEYWORDS
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