This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady
What I Built
I built a Lazy Morning Agent - a local AI assistant that reads my overnight WhatsApp group messages and gives me a 2-line summary in the morning. It saves me 30 minutes every day and lets me be lazy!
Demo
Check the demo video concept here: Loom video coming soon
Code
My code is here: https://github.com/anithaanitha75325/Python-project-
I used open-weight models to make it 100% private.
How I Built It
I used Ollama with Llama 3.2 open-weight model running locally on my laptop. No API keys, no internet needed. Used Python with LangChain.
Why Does Open Innovation Matter?
Open innovation matters because my personal chats are private. If I used a closed API, my chats would go to the cloud. With open-weight Llama, everything runs locally, it's free forever, and I can customize it.
The Lazy Payoff
It saves me 30 minutes every morning! Instead of reading 100 messages, I read 2 lines. This week I used it daily and slept 20 mins extra.
Prize Categories
I am entering: Productivity Tools, Open-Weight Wonders, For the Love of Sloths
Top comments (1)
아침에 읽을 내용을 두 줄로 좁힌 목표가 분명하네요. 요약에서 원문 시각이나 메시지 위치로 돌아갈 수 있게 하면, 결정 사항이나 할 일이 빠졌는지 확인하기 좋겠습니다. 중요한 메시지가 없는 날과 읽기에 실패한 날도 구분해서 보여주면 더 안심하고 쓸 수 있겠어요.