A working food-ordering app
Build the menu, cart and ordering flow with Kotlin and Jetpack Compose.
Create a food-ordering app with menu, cart and an AI dish-recommendation feature—live on your laptop with step-by-step guidance.
Secure Razorpay checkout · Setup checklist provided after registration
Follow one focused build from the first Compose screen to a useful AI-powered experience.
Build the menu, cart and ordering flow with Kotlin and Jetpack Compose.
Connect an AI model and turn cart contents into a smart dish recommendation.
Know what to improve next and how to present the project honestly as proof of work.
Open the prepared project, understand the structure and render your food menu with Compose.
Connect screens and build the ordering flow using practical state-management patterns.
Send cart context to an AI model and show its useful recommendation inside the app.
Run the completed flow, solve implementation questions and understand what to build next.

Founder of TechManifester and a former Google Certified Associate Android Developer, with a teaching approach built around practical exercises and individual support.
Selected engagements were delivered through training vendors or program partners.
Feedback from learners and training stakeholders across Ranjith’s Android programs.
“Ranjith has good knowledge and delivery skills. His approach is in-depth oriented and he has excellent crowd-management skills.”
Nanditha Shetty“His feedback from trainees was always excellent. He engaged learners well, gave several exercises and coached them individually.”
Swapnil Pande“A skilled Android developer and an excellent teacher who explains concepts clearly and understandably.”
Jyothish Kumar AVerified rating: 4.9/5 from 34 UrbanPro reviews
Use one Sunday morning to move from watching tutorials to building something you can run and explain.
After payment, join the mandatory WhatsApp group for setup and joining instructions.
Yes. You will work from a guided setup and build each part live. You should be comfortable using a computer and willing to follow along carefully.
A Windows or Mac laptop with 8GB RAM recommended, Android Studio and the setup instructions supplied after registration. Complete the setup before the live session.
The app sends the customer’s cart context to an AI model and displays a smart dish recommendation inside the ordering experience.
Do not buy a separate subscription. The exact service and access steps needed for the workshop will be included in the setup instructions.
This is sold as a live, hands-on workshop. Recording access and a certificate are not promised unless explicitly confirmed in your registration communication.
This is a focused introductory live workshop and the first step in TechManifester’s training ecosystem. You still complete a practical guided project whether or not you continue further.
Not ready for the live workshop? Get the free Android roadmap on WhatsApp →