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AI for Good Innovate for Impact



                   Use Case 14: AI-Driven Wireless Audio Conference System for

               Smartphone                                                                                           4.4-Productivity













               Organization: Mbeya University of Science and Technology (MUST)

               Country: Tanzania

               Contact Person(s): Jackson Braiton Arone, jacksonnkizingi@ gmail �com


               1      Use Case Summary Table


                Items                Details
                Category             Productivity
                Problem     to   be In today’s event venues, typical wireless microphone systems predomi-
                Addressed            nantly use Frequency Modulation (FM)radio frequencies. Unfortunately,
                                     these systems often face various problems such as a lack of available
                                     microphones, interference, weak signal quality, overlapping speech,
                                     slow turn-taking, and manual processing of speaking request. So, priori-
                                     tize speakers, handle requests, and guarantee uninterrupted, equitable,
                                     and seamless communication, a clever system is required. An auto-
                                     mated, well-organized, and equitable communication flow is required.

                Key Aspects of Solu- The proposed solution leverages a smartphone app and a
                tion                 Personal Computer(PC)-based server orchestrated entirely by an

                                     AI—eliminating manual intervention—to manage speaker requests,
                                     prioritize talk turns, and process audio streams in real time.

                                     The AI uses pre-established rules (such as first-come-first-served, user
                                     roles, and speaking history) to give or queue access when a user hits
                                     "Talk Request." The server then instantly transmits the request to the AI.
                                     After activating, the AI continuously checks the audio for format compat-
                                     ibility and noise reduction before streaming it to the PA system. It then
                                     immediately releases the slot and advances the next user, AI-driven
                                     must apply noise reduction, echo cancellation, and voice activity detec-
                                     tion to clean up audio before it's sent to the Public Address(PA)system,
                                     ensuring clear and professional audio quality even in noisy environment
                                     by the aid of Neural networks + Digital Signal Processing(DSP), where
                                     DSP is a traditionally method.
                Technology Keywords AI, Wi-Fi  Communication,  Mobile App,  Computer App and Audio
                                     System
                Data Availability    Public (Limited real-time user and audio data during system use)

                Metadata  (Type  of  Videos data
                Data)






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