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DevFest Pisa - Make your abstract stand out

DevFest Pisa - Make your abstract stand out

Abstracts are typically used when a potential speaker wants to submit their proposal or topic for consideration.
This is an interactive session is an introduction to a few practical steps to abstract writing as well as demystifying myths around applying as a speaker for tech events or conferences. Learn the art of crafting compelling abstracts that stand out and get noticed. Enhance your submission game!

Hannah Olukoye

June 01, 2024
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  1. SLIDESMANIA.COM Stories are a powerful force in our lives—both those

    we tell ourselves and those we tell others about ourselves... The Career Stories Method― Kerri Twigg
  2. SLIDESMANIA.COM Call For Speakers Workshops 1 hour 30 minutes Code

    Labs 2 hours Lightning Talks 10 - 20 minutes General Talks 20 - 40 Minutes
  3. SLIDESMANIA.COM Myths ❏ My talk wasn’t selected because … ❏

    How long should my abstract be? ❏ How many sessions can I apply to speak at one event?
  4. SLIDESMANIA.COM Generate a Title ❏ Short ❏ Long ❏ Formal

    ❏ Catchy Straightforward: * TensorFlow Mobile: Powering Intelligent Android Apps * Building Smart Apps with TensorFlow Lite on Android Problem-Solution: * Run AI on the Edge: Lightweight Machine Learning with TensorFlow Lite for Android * From Cloud to Device: Bringing AI Intelligence to Your Android App Creative Approaches: * TensorFlow on the Move: Bringing AI to Android * Lite Learning: Machine Learning for Mobile with Target Audience Specific: * TensorFlow Lite for Android Developers: A Deep Dive * Making Your Android App Smarter with TensorFlow: A Practical Guide
  5. SLIDESMANIA.COM Build your Story Ever wished your Android app could

    be smarter and more responsive? Traditional cloud-based AI solutions can introduce latency, privacy concerns, and limited offline functionality. TensorFlow Lite empowers you to overcome limitations by processing data locally. This talk explores TensorFlow Lite, a powerful tool that lets you bring AI directly to Android devices. We'll delve into integrating pre-trained models or training your own, and equip you with the knowledge to unlock the potential of on-device AI for your Android applications. Prerequisites: • Basic understanding of Android development concepts. • Familiarity with machine learning fundamentals is a plus, but not required. 1. Pain points 2. Solution 3. Key takeaways 4. Prerequisites for Attendees TensorFlow on the Move: Bringing AI to Android
  6. SLIDESMANIA.COM Wrap up Title Ask for help, proofread Review Ready

    to apply Submit Long vs Short, Catchy vs Formal Story Building your story, use keywords
  7. SLIDESMANIA.COM Resources For slides preparation • https://www.contentrow.com/tools/headline-generator • https://slidesmania.com/ •

    https://speakerdeck.com/ For CFPs • https://sessionize.com/ • https://seecfp.com/ • https://www.cfpland.com/ • https://www.papercall.io/