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‎ai-data-strategy/README.md‎

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# AI Data Strategy
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Oracle AI Data Strategy material and resources.
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# License
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Copyright (c) 2025 Oracle and/or its affiliates.
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Licensed under the Universal Permissive License (UPL), Version 1.0.
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See [LICENSE](https://github.com/oracle-devrel/technology-engineering/blob/main/LICENSE.txt) for more details.

‎ai-data-strategy/enablement-assets/README.md‎

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# Enablement Asssets
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AI and Data Strategy enablement presentations

‎ai/generative-ai-service/car-insurance-cahtbot/LICENSE‎

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Copyright (c) 2025 Oracle and/or its affiliates.
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The Universal Permissive License (UPL), Version 1.0
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Subject to the condition set forth below, permission is hereby granted to any
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person obtaining a copy of this software, associated documentation and/or data
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(collectively the "Software"), free of charge and under any and all copyright
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rights in the Software, and any and all patent rights owned or freely
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licensable by each licensor hereunder covering either (i) the unmodified
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Software as contributed to or provided by such licensor, or (ii) the Larger
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Works (as defined below), to deal in both
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(a) the Software, and
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(b) any piece of software and/or hardware listed in the lrgrwrks.txt file if
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one is included with the Software (each a "Larger Work" to which the Software
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is contributed by such licensors),
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without restriction, including without limitation the rights to copy, create
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derivative works of, display, perform, and distribute the Software and make,
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use, sell, offer for sale, import, export, have made, and have sold the
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Software and the Larger Work(s), and to sublicense the foregoing rights on
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either these or other terms.
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This license is subject to the following condition:
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The above copyright notice and either this complete permission notice or at
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a minimum a reference to the UPL must be included in all copies or
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substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎ai/generative-ai-service/car-insurance-cahtbot/README.md‎

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# 🚗 Insurance Image/Video Analyzer — OCI GenAI
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A Streamlit-based multimodal application that analyzes **vehicle images or videos** for insurance claim triage using **Oracle Generative AI**.
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This tool allows insurance professionals and adjusters to upload accident images or a short video clip, and receive a concise, expert-style report summarizing vehicle condition, visible damages, and safety concerns — all generated through a single multimodal LLM call.
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**Author:** Ali Ottoman
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**Reviewed date:** 13.10.2025
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---
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## 🔧 Features
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### Unified Image & Video Analysis
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- Upload multiple **images**, a single **video**.
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- For videos: frames are extracted automatically (at a user-set interval) and analyzed **collectively** in one final pass (per 10 frames).
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- Generates one unified report summarizing all perspectives.
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### Insurance-Focused Vehicle Damage Report
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- Custom prompt tuned for **insurance adjuster** workflows.
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- Structured output covering:
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- Vehicle details (make, model, color, visible plates)
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- Damage assessment by section (front, rear, sides, roof, wheels)
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- Safety & driveability insights
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- ADAS & sensor recalibration notes
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- Prior damage indicators
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- Concise summary for claims review
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### Multimodal LLM (Llama 4 Maverick)
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- Performs reasoning across **all frames and views** to remove duplicates and highlight consistent damage regions.
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- Handles both still images and continuous video input.
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- Supports temperature control and token limit configuration.
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### Streamlit Front-End
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- Simple upload interface with thumbnail previews.
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- Real-time progress indicators and structured results display.
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- Sidebar controls for frame interval, max frames, and temperature.
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---
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## 👥 Who Can Use This
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**Insurance Adjusters & Claims Teams**
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→ Rapidly review visual evidence from claim submissions with a single summarized analysis.
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**Fleet Managers & Repair Centers**
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→ Assess damage consistency across multiple images or dashcam videos.
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**Developers & AI Engineers**
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→ Extend or integrate the workflow into enterprise insurance platforms on OCI.
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---
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## 🗂️ Files & Structure
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```
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.
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├── motor-insurance-chatbot.py # Main Streamlit app
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├── config.py # OCI config & model IDs (user-provided)
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├── requirements.txt # Python dependencies
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└── README.md # You're reading it
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```
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---
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## ⚙️ Setup & Installation
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### 1. Clone the Repository
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```bash
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git clone https://github.com/your-username/your-repo.git
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cd your-repo
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```
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### 2. Configure OCI Credentials
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Edit your `config.py` file:
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```python
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# config.py
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COMPARTMENT_ID = "<your OCI Compartment OCID>"
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MODEL_ID = ["meta.llama-4-maverick-17b-128e-instruct-fp8"]
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```
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Ensure your OCI credentials file (`~/.oci/config`) is correctly configured with API keys and region.
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### 3. Install Requirements
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```bash
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pip install -r requirements.txt
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```
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---
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## 🚀 Run the App
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```bash
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streamlit run motor-insurance-chatbot.py
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```
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---
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## 📝 How to Use
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1. **Upload your files**
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→ Images (`.jpg`, `.png`) or one video (`.mp4`, `.avi`, `.mov`)
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→ PDFs are also supported (converted to images internally)
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2. **Set parameters**
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- Choose frame extraction interval (default = 12)
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- Limit total frames (default = 120)
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- Adjust temperature (default = 0 for deterministic outputs)
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3. **Ask your question**
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Example queries:
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- “Describe the visible vehicle damages.”
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- “Summarize the safety concerns.”
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- “What parts likely need recalibration?”
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4. **View results**
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→ The app displays:
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- Frame thumbnails
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- A single final LLM report combining all inputs
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- Structured markdown-formatted sections
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---
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## 🛠️ Customization
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- Modify `INSURANCE_PROMPT` to tailor report tone or add fields (e.g., **cost estimate**, **liability hints**, **repair recommendations**).
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- Adjust `MAX_VIDEO_FRAMES` and `MAX_TOKENS` for performance vs detail.
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- Add export features (CSV, PDF) via Streamlit’s `st.download_button`.
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---
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## 🧠 Example Interaction
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**You:** *Describe visible damages and safety concerns.*
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**AI (Maverick):**
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> **Vehicle Details:** Red Toyota Corolla 2021, rear plate visible.
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> **Damage Assessment:** Moderate rear bumper impact with scratched paint; left taillight cracked; minor dent on rear quarter panel.
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> **Safety & Driveability:** Lights partially damaged but vehicle likely drivable; no airbag deployment visible.
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> **Summary:** Rear collision impact focused on left side; requires bumper and light replacement.
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---
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## 🔧 OCI Services Used
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1. **OCI Generative AI – Llama 4 Maverick**
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→ Multimodal text + image/video reasoning
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```python
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from langchain_community.chat_models.oci_generative_ai import ChatOCIGenAI
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```
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---
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## 🔗 Docs & References
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📘 [OCI Generative AI Overview](https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm)
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---
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## 📄 License
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Copyright (c) 2025 Oracle and/or its affiliates.
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**MIT License** — see `LICENSE` for details.

‎ai/generative-ai-service/car-insurance-cahtbot/files/config.py‎

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"""
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config file
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- Add the OCID of your compartment
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"""
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COMPARTMENT_ID = ""
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MODEL_ID = [
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"meta.llama-4-maverick-17b-128e-instruct-fp8",
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"meta.llama-4-scout-17b-16e-instruct"]

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