In an increasingly digitized world, children are navigating an expansive online playground that's filled with both opportunities and risks. Addressing the pressing need to protect young minds from harmful online content, Adina Dhoka, one of our accomplished students, embarked on groundbreaking research. Her paper titled "Machine Learning and Speech Analysis Framework for Protecting Children against Harmful Online Content" is a testament to her dedication to child online safety.
About Adina Dhoka
Adina Dhoka is a Headmaster Student of extraordinary promise, poised to embark on an academic journey in pursuit of Biotechnology at an esteemed university. With a heart brimming with compassion and curiosity that knows no bounds, Adina has not only excelled academically but has also undertaken impactful projects in the realms of science and community service, including "The Pad Project", an eco-tech initiative to address the environmental impact of menstrual waste, "Dhadkan", a limb donation initiative to bridge the gap between organ and limb donors and hospitals.
Adina Dhoka's journey is a testament to her unwavering dedication to both scientific exploration and community service. Her pursuit of Biotechnology is not merely an academic endeavor; it is a continuation of her mission to harness the power of science for the betterment of society.
Summary of the paper
Adina's research paper, "Machine Learning and Speech Analysis Framework for Protecting Children against Harmful Online Content" delves deeper into the effects of exposure to online content at a young age and how machine learning and speech analysis can protect children against the same. This research paper introduces a novel ML model designed specifically for the detection of abusive content through speech recognition, with a focus on protecting children. By leveraging speech recognition techniques and emphasizing data quality, the paper underscores the importance of continuously advancing machine learning methods to ensure child online safety.
Link to the Research Paper: https://ieeexplore.ieee.org/document/10085565
Sources
A. Dhoka, S. Pachauri, C. Nigam and S. Chouhan, "Machine Learning and Speech Analysis Framework for Protecting Children against Harmful Online Content," 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2023, pp. 1420-1424, doi: 10.1109/ICEARS56392.2023.10085565.
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