{ "item_title" : "Gesture to Speech Using CNN and Python", "item_author" : [" Dhanus Mani "], "item_description" : "A system designed to convert hand sign gestures into voice and text using a Python- based Convolutional Neural Network (CNN) model offers a robust solution for bridging communication gaps. This system leverages computer vision techniques to capture hand gestures, which are then processed by a trained CNN model for recognition. The recognized gestures are subsequently converted into textual output and further synthesized into speech using text-to-speech (TTS) libraries. This approach provides a real- time, accessible method for individuals using sign language to communicate with those unfamiliar with it, enhancing inclusivity and understanding.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/99/933/026/9999330266_b.jpg", "price_data" : { "retail_price" : "45.50", "online_price" : "45.50", "our_price" : "45.50", "club_price" : "45.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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