WeatherTalker : An AI-Powered Multimedia Weather Forecasting System with Visual Landmark Context and Voice Narration

WeatherTalker : An AI-Powered Multimedia Weather Forecasting System with Visual Landmark Context and Voice Narration

1 Mr. Dr. P. Rajendra Prasad,2 J. Sarawathi, 3 B. Srinidhi,4 Y. Harshini
Associate Professor, UG Student,  Dept of Computer Science and Engineering

Vignan’s Institute of Management and Technology for Women, Hyd.

Email: rajipe@gmail.com,Email: saraswathi.jinkuntla@gmail.com,Email: reddybethisrinidhi@gmail.com,Email: yellaharshini11@gmail.com

Abstract — In the era of smart applications and real-time data communication, interactive systems play a crucial role in enhancing user experience and accessibility. This paper presents WeatherTalker, an intelligent GUI-based system designed to deliver real-time weather information along with a representative image of the queried location, accompanied by a voice output for better accessibility. The system integrates three APIs— OpenWeatherMap for weather data, Unsplash for dynamic image retrieval, and Google Text-to-Speech (gTTS) for audio synthesis. This application targets the enhancement of user engagement, particularly for visually impaired individuals, travellers, and general users seeking quick weather updates. The project emphasizes ease of use, modular API integration, and responsiveness in Python-Tkinter environment. The system demonstrates effective handling of real-time data fetching, image rendering, and voice synthesis, offering a unified and user-friendly solution. With the growing reliance on real-time information systems, delivering data in accessible and user-friendly formats has become increasingly important. Weather forecasting applications are widely used by individuals, institutions, and industries to make informed daily decisions.

Key words — Weather Forecasting, Text-to-Speech, Real- Time Data, OpenWeatherMap API, Accessibility, Graphical User Interface, Image Retrieval.