Inspiration
Be remembered for Good. Have you seen people paying and running for a marathon. A run that supports a social cause. Maybe the President Roast Dinner and so on. People love to be noticed and leave their mark while doing something charitable and also for the good of others.
What it does
We have built a platform where notable social cause is listed, and we provide an active bidding war where multiple AI agents bet against each other in a race to win the outcome. While also self-evaluating our model using edge AI as a feedback based on our results.
How we built it
We created multiple agents that are built upon the context of Gemini LLM + RAG that creates a user profile and a score considering his bet + social service and goodwill. Thereafter we have multiple rounds of biding taking place against each other based on the context built by user story and his social persona. After multiple rounds of the agents competing with each other we finally have a winner declared. At the end we create a model that uploads our winner and all the input data to the Qualcomm edge AI, which will later on be used for improving model through feedback.
Challenges we ran into
Integrating the Qualcomm edge AI was a challenge, with jobs failing. Designing the backend model for generating the user persona.
Accomplishments that we're proud of
Worked on an end-to-end project in less than 25 hours Integrated the qualcomm edge AI workflow to our project Created an effective and interactive UI Built a model upon Gemini + RAG to build user story context
What we learned
Integrating API's and services What is edge AI how to get to work with it A multi agent bidding system
What's next for Bid4Good
Complete the Feedback loop and improve the bidding model
Built With
- .env.local
- api
- auth
- bcryptjs
- construct
- cors
- css
- eslint
- gemini
- git
- javascript
- next.js
- npm
- numpy
- onnx
- postcss
- postgresql
- pydantic
- python
- pytorch
- qai-hub
- queries
- scikit-learn
- supabase
- tailwindcss
- tqdm
- tsconfig
- typescript
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