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# PROPOSAL TITLE
## Proposal submitted to Cere Foundation on 2025-12-31 by [YOUR NAME]

## Project Slug
[AI Agent Image Challenge](https://dorahacks.io/hackathon/bounty/1264)

## Abstract
**Bullish Aura** is a specialized Computer Vision AI agent designed to amplify crypto-native culture. It allows users to instantly transform their webcam feed or selfies into high-fidelity "Market Whale" or "Gigachad" avatars—featuring the aesthetic markers of success (e.g., laser eyes, green candle backgrounds, futuristic styling)—while preserving their facial identity.

The project leverages **Stable Diffusion XL Turbo** for near-real-time inference and **ControlNet** for precise identity preservation. Crucially, the system is built on the **Cere Network Stack**: all generated "winning" images and user session metadata are encrypted and stored via the **Cere Decentralized Data Cloud (DDC) SDK**, ensuring true ownership and decentralized permanence for the content. This tool is designed for viral loops, embedding partner branding into every shared image to drive campaign visibility.

## Team 🧑‍🤝‍🧑

> [!IMPORTANT]
> Please note that the data provided in this section is for administrative and informational purposes only.

### Team members

- Tejasv Singh Hada - Lead Developer

### Contact

- **Contact Name:** Tejasv Singh Hada
- **Contact Email:** tejasvhada1@gmail.com
- **Website:** https://www.linkedin.com/in/tejasv-singh-hada/

### Team's experience

Tejasv is a developer with experience in full-stack engineering and AI pipelines.
*(Optional: Add a sentence here about your background, e.g., "I have experience integrating Stable Diffusion workflows and building frontend applications for hackathons.")*

### Team Code Repos

https://github.com/Tejasv-Singh

### Team LinkedIn Profiles (if available)

- http://linkedin.com/in/tejasv-singh-hada/

## Development Roadmap :nut_and_bolt:

### Overview

- **Total Estimated Duration:** 2 Weeks
- **Full-Time Equivalent (FTE):** 1 FTE

### Milestone 1 — Core AI Engine & Cere DDC Integration

- **Estimated duration:** 1 Week
- **FTE:** 1

| Number | Deliverable | Specification |
| -----: | ----------- | ------------- |
| 0a. | License | Apache 2.0 / MIT |
| 1. | AI Pipeline Script | A Python script utilizing `diffusers`, `SDXL Turbo`, and `ControlNet-Canny` that accepts an input image and outputs a stylized "Bullish" avatar while preserving facial features. |
| 2. | Prompt Engineering | A curated set of positive/negative prompts optimized for the "Bullish" partner aesthetic (green, gold, futuristic, financial charts). |
| 3. | Cere DDC Integration | Integration of the `Cere DDC SDK` to handle the upload and storage of the generated images. The script will return a DDC-hosted URL for the image instead of a local path. |
| 4. | Basic CLI | A command-line interface to test the image-to-image transformation and DDC upload locally. |

### Milestone 2 — Frontend, Viral Logic & Deployment

- **Estimated Duration:** 1 Week
- **FTE:** 1

| Number | Deliverable | Specification |
| -----: | ----------- | ------------- |
| 1. | Web Interface | A responsive web app (Streamlit or React) allowing users to upload photos or use their webcam to interact with the agent. |
| 2. | "Win" Logic & Watermarking | Implementation of an automatic overlay/watermark (Partner Logo) on generated images to track "wins" and ensuring branding on social shares. |
| 3. | Encryption | Implementation of DDC SDK encryption to ensure user privacy for raw selfies before they are processed. |
| 4. | Deployment | Hosting the agent on a cloud provider (e.g., HuggingFace Spaces or similar) with the storage layer routed fully through Cere DDC. |
| 5. | Documentation | A `README.md` containing setup instructions, DDC configuration steps, and a demo video of the workflow. |

## Future Plans

- **Immediate Term:** Promote the tool on Crypto Twitter using the generated assets to drive traffic to the partner campaign.
- **Long Term:** Expand the agent to support video streams (Real-time Zoom filter) and introduce "Bear Market" filter packs as unlockable content.
- **Maintenance:** The project will be open-sourced, allowing the community to fine-tune new LoRAs for different market conditions.

## Preferred method of funds delivery
- USDC on Eth address: [YOUR WALLET ADDRESS]

## Link to Logo image 1:1 (in github)
- (Leave blank or add a link to a placeholder logo if you have one)

## Other Bio and details or thoughts, etc.
N/A