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@article{203806,
        author = {Palash Wagh and Aditya Auti and Vrushabh More and Adwait Bhosale},
        title = {Radio Signal Monitoring And Media Credibility Analysis System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {2637-2643},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203806},
        abstract = {This paper presents the design and implementation of a Radio Signal Monitoring and Media Credibility Analysis System — a low-cost, hardware-software integrated platform engineered to receive, digitize, and analyze FM radio broadcast signals in real time. The system employs a TEA5767 FM stereo receiver interfaced with an Arduino UNO or Raspberry Pi single-board computer for embedded signal acquisition and processing. Broadcast audio is transcribed using a speech-recognition engine, and the resulting text is subjected to a keyword-based credibility scoring algorithm. Visual and auditory feedback is delivered through LEDs, a buzzer, and an LCD display to inform users when content is flagged as potentially unreliable. A companion media-literacy website reinforces public awareness and provides educational resources on misinformation detection. The system achieves an overall classification accuracy of 88%, rising to 95% under low-noise conditions, demonstrating its viability as an affordable monitoring tool for communities with limited internet access.},
        keywords = {credibility analysis, embedded systems, FM broadcast, IoT, keyword detection, media literacy, misinformation detection, radio signal monitoring, TEA5767, speech recognition.},
        month = {June},
        }