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</div>
<h1>Bharat AI-SoC Student Challenge</h1>
<p class="ch-tagline">
A project-based virtual challenge to ignite innovation in AI-driven System-on-Chip (SoC) design using Arm architecture.
A project-based virtual challenge to ignite innovation in AI-driven System-on-Chip (SoC) design.
</p>
<div class="ch-header-meta">
<div class="ch-meta-pill">
Expand Down Expand Up @@ -93,10 +93,10 @@ <h2>Challenge Guidelines & Terms</h2>
<li>Only Team Leader registers for the team.</li>
<li>Duplicate registration results in rejection.</li>
<li>Registration details must be accurate.</li>
<li>Mentoring by Arm experts (virtual) & college mentors (local).</li>
<li>Teams can reach Arm experts via email/Slack/Discord.</li>
<li>Mentoring by industry & academic experts (virtual) & college mentors (local).</li>
<li>Teams can reach out to mentors(experts) via support email id as mentioned.</li>
<li>Mini project to be hosted on GitHub and submitted using the challenge submission form.</li>
<li>Arm may assign a different problem statement.</li>
<li>All Challenge related notifications & updates will posted in this page.</li>
<li>Winners must provide college ID & documents.</li>
<li>Updates will be posted on this page.</li>
<li>The selection of finalists and winners will be solely at the discretion of the organizers of this challenge.</li>
Expand Down Expand Up @@ -281,7 +281,7 @@ <h3>Key Requirements</h3>
<li>Monitor and standard peripherals.</li>
</ul>
</li>
<li>Software:
<li><strong>Software</strong>:
<ul>
<li>JetPack OS with CUDA support.</li>
<li>Python, OpenCV, MediaPipe.</li>
Expand Down Expand Up @@ -390,7 +390,7 @@ <h3>Learning Outcomes</h3>

<h3>Objective</h3>
<p>
Build a fully local, real-time speech-to-speech translation system optimized for Arm-based CPUs, leveraging SME2 where available (preferred) or optimising using NEON. The system must perform speech recognition, LLM-based translation or semantic rewriting, and speech synthesis entirely on-device, meeting mobile latency, power, and thermal constraints.
Build a fully local, real-time speech-to-speech translation system optimized for Arm-based CPUs, leveraging SME2 where available (preferred) or NEON/NPU otherwise. The system must perform speech recognition, LLM-based translation or semantic rewriting, and speech synthesis entirely on-device, meeting mobile latency, power, and thermal constraints.
</p>

<h3>Project Description</h3>
Expand All @@ -412,7 +412,7 @@ <h3>Key Requirements</h3>
<li>Hardware:
<ul>
<li>Arm-based smartphone CPU</li>
<li>SME2-enabled device preferred; otherwise utilise NEON on CPU or optionally an onboard NPU</li>
<li>SME2-enabled device preferred; otherwise NEON-optimized CPU or optional onboard NPU</li>
<li>Microphone and audio output (speaker or headphones)</li>
</ul>
</li>
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<li>Examples: FastSpeech2 + HiFiGAN, VITS-lite</li>
</ul>
</li>
<li>No cloud inference permitted</li>
<li>Quantization and Arm-specific optimizations required (SME2/NEON)</li>
<li><strong>No cloud inference permitted</strong></li>
<li><strong>Quantization and Arm-specific optimizations required (SME2/NEON)</strong></li>
</ul>
</li>
</ul>
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</div>
</div>

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<h2 style="color:#7c3aed; margin:0 0 15px; font-size:24px;">Thank You!</h2>
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## Audience
Electronic Engineering
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## Description
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To receive the benefits, you must show us your project through our [online form](https://forms.office.com/e/VZnJQLeRhD). Please do not include any confidential information in your contribution. Additionally if you are affiliated with an academic institution, please ensure you have the right to share your material.
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### *We are open to supporting participants through hardware donations, such as gift cards to help procure Windows on Arm laptops for development and research purposes. Please reach out to us at Arm-Developer-Labs@arm.com for more details on eligibility*

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### *We are open to supporting participants through hardware donations, such as gift cards to help procure Windows on Arm laptops for development and research purposes. Please reach out to us at Arm-Developer-Labs@arm.com for more details on eligibility*

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