⚡ Watt-Seer Capstone Projects
These Capstone Projects are part of the 5-day Gen AI Intensive Course with Google, which took place from Monday, March 31 – Friday, April 4, 2025.
Participants collaborated on applying Generative AI to the problem of understanding and optimizing residential energy consumption using real-world and simulated datasets.
🧠 Project Overview
| Project Name | Theme | Team Members |
|---|---|---|
| Watt-Seer-Coach | Personalized Energy Coach | Ashwini Apte, Rao Parasa, Suresh Srinivas |
| Watt-Seer-Compare | Home vs Others | Praveen, Harshita, Naga |
| Watt-Seer-Household | Household Behavior Analysis | Arushi, Eric, Lan |
| Watt-Saver | Recommender for Lower Bills | Jim, Jonathan, Olamide, Saad |
Each project team built an AI-powered solution using Kaggle notebooks, Gemini APIs, and open datasets, supported by guidance from Google and the Gen AI community.
Stay tuned for demos, results, and community resources coming soon!
📖 How It Came to Be
The idea for Watt-Seer began when Suresh Srinivas posted a note in the Kaggle Discord during the Gen AI Intensive Course, inviting participants to explore AI-powered approaches to home energy efficiency.
The response was overwhelming — over 28 participants signed up within 24 hours.
To support everyone, Suresh mentored and guided participants in self-organizing into four collaborative teams, based on shared interests and skillsets.
In two kickoff Zoom sessions, participants introduced themselves, shared goals, and aligned on project themes. From there, teams began collaborating daily using Kaggle Notebooks, Discord channels, and Zoom coworking sessions — all centered around the Watt-Seer initiative.
The result: a showcase of what’s possible when community, data, and Gen AI come together to solve real-world problems.