PLEASE READ THE GIVEN INSTRUCTIONS with Focus and Attention
Target Audience:
Most of our target audience will be IT professionals (Web/Mobile/Backend Developers / Designers / ML Engineers / Data Scientists / Entrepreneurs and Startup ecosystem enablers, etc.) with 0 to 20 years of experience. We would also welcome students and freshers only if they have hands-on knowledge of technology!
Theme for this year contents/talks:
We want to make this event helpful with the current trends and technologies (like AI and ML) by covering topics around them mainly!
Session Format
- Session - 30 to 45 mins talk, detailed talk on any of the below topics.
- Workshop - 1 Hour Hands-on Workshop in a dedicated workshop track.
Session Topics:
We will accept talks for our planned tracks, such as,
Web / AI ML / Cloud
Web Development, topics not limited to
- Building AI-powered Web Experiences with Gemini & TensorFlow.js
- Edge AI + Cloudflare Workers for low-latency web intelligence
- Gemini + Firebase + Angular: AI Apps for the Web
- Angular
- Firebase
- PWA
- Chrome Developer Tools
- Performance
- Accessibility
- TensorFlow JS
- JavaScript
- Modern Web App Capabilities
- UI / UX Trends
- Web3 development,
- WebAssembly + AI inference in the browser
- E2E accessibility testing with Playwright, etc.
AI ML, topics not limited to
- Building AI Agents using open-source frameworks (e.g., LangGraph, CrewAI)
- Creating LLM-powered product assistants using Gemini Pro + Firebase
- Hands-on with Gemini 1.5 & multimodal capabilities
- Retrieval-Augmented Generation (RAG) workflows in production
- Practical Prompt Engineering patterns for developers
- Responsible AI & Safety Filters using Google AI tools
- Generating code with AI-augmented DevTools
- Fine-tuning models with Vertex AI and custom datasets
- Building scalable GenAI APIs for mobile/web apps
- AI Copilots in Enterprise – from idea to deployment
- Generative AI
- Gemini
- Large Language Models
- Stable Diffusion
- Midjourney
- Prompt Engineering
- TensorFlow
- Vertex AI
- AutoML
- Dataflow
- Firebase
- ML Kit
- Cloud Natural Language, etc.
Cloud topics not limited to
- Gemini + Cloud Workflows to automate business processes
- Infrastructure-as-Code with Terraform + Google Cloud
- Serverless AI pipelines with Cloud Functions + Dataflow
- MLOps Best Practices: CI/CD for ML models
- Multi-cloud AI workloads using GKE Autopilot
- Managing LLM inference cost with Vertex AI Model Garden
- Data Mesh architecture on Google Cloud
- Practical DevSecOps & Policy Enforcement in AI deployments
- Google Kubernetes Engine
- Compute Engine
- Cloud Storage
- Big Query
- Cloud Functions etc.
Android / Flutter Development
Android/Flutter Development, topics not limited to:
- Flutter + Gemini Integration for mobile experiences
- Kotlin Multiplatform Mobile (KMM) in real-world apps
- Flutter Web + Firebase + AI fullstack architecture
- Adaptive layouts using Jetpack Compose & Material 3
- Hands-on with Android Gemini API (code generation, voice assistant, etc.)
- Flutter AI Plugins – integrating open-source models locally
- Dev productivity with Dart 3.3 and Flutter DevTools AI
- Building AI-powered widgets and components
- Flutter/Android scalable architecture best practices
- Kotlin Multiplatform and Flutter, Code for one and generate for multiple platforms
- Optimize your apps for Android Go edition
- Generating apps in no time using No-code or Pro-code platforms
- Adaptive layout and latest UI/UX design trends in Android and Flutter
MOST IMPORTANT Expectations from CFPs this year
As every year at DevFest Ahmedabad, we are seeking values- and experience-based Talk proposals that demonstrate the implementation of practices in your product(s) and the achievement of user growth, revenue growth, code scalability, funding generation, and the development of an MVP with solid principles and practices.
This year, we are not expecting talks on topics like Getting Started with Something or beginner level, which one can search over the web and find out quickly, like “Getting Started with Flutter development,” “How to implement MVVM in Android”, “Getting started with JavaScript technologies”, etc.
And the most important thing, the topics MUST BE focused for this year's AI/ML integration or development theme.
DOs of CFP
- Please elaborate on the topic properly to help you understand and review your talk.
- Please submit details about your past talk(s).
- Please include links to your past talk(s) presentations, videos, etc.
- Please mention the critical takeaways of your talks and how they will benefit the developers.
DON'Ts of CFP
- Pitching and marketing of the product or company. A speaker can mention the company name, but the focus of the talk should be technology.
- The talk should be the speaker's original idea and should not be copied from someone else.
- The topic should be relevant to the audience and should be in practice in recent years.
- Avoid talks like Getting Started or Hello World.
Perks of being a speaker at #DevFestAhm
- Full-day access to the conference
- Chance of networking with 500+ developers at the conference
- Exposure to community members on official GDG Ahmedabad social media accounts
- Help from the GDG Ahmedabad team members in talk preparation.