EY-Techathon-6.0-Guide

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EY-Techathon-6.0-Guide

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A structured guide for EY Techathon 6.0 problem statements with research, references, and solution ideas.

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# 🚀 EY Techathon 6.0 - Project Hub

Welcome to the **EY Techathon 6.0** project repository!  
This repository contains **Agentic AI solutions** for multiple business domains. Each track demonstrates innovative use of AI agents to solve real-world challenges, including predictive maintenance, retail automation, B2B RFP automation, provider data validation, healthcare, and more.

Click on any track below to explore the detailed README and resources.

---

## 📂 Tracks Overview

| Track | Description | Access |
|-------|-------------|--------|
| **Automotive** | Predictive maintenance for vehicles using real-time data, historical logs, and AI orchestration. | [Open Automotive Track](./AUTOMOTIVE/README.md) |
| **FMCG** | Automate B2B RFP response process for wires, cables, and industrial products using Sales & Technical Agents. | [Open FMCG Track](./FMCG/README.md) |
| **Retail** | Intelligent customer engagement, inventory management, and personalized recommendations with multi-agent AI. | [Open Retail Track](./RETAIL/README.md) |
| **IT/BPM - Healthcare Providers** | AI-powered provider data validation, enrichment, and directory management to improve accuracy and compliance. | [Open IT/BPM Track](./IT_BPM/README.md) |
| **PHARMA** | Agentic AI solution to streamline drug trials, regulatory reporting, and market research for pharmaceutical businesses. | [Open PHARMA Track](./PHARMA/README.md) |
| **BFSI** | Automates risk assessment, fraud detection, and customer engagement for banking and financial services using AI agents. | [Open BFSI Track](./BFSI/README.md) |

---

## 📌 How to Use This Repository

1. Click on a track in the table above to open the detailed README for that domain.
2. Follow the instructions for:
   - Understanding the problem statement
   - Exploring existing tools and research
   - Accessing suggested resources and integrations
   - Implementing AI agents and workflows
3. Each track folder contains:
   - `README.md` with full project guidance
   - Links to research papers, tools, and GitHub repos
   - Suggested datasets or public APIs
4. Clone or fork this repository to experiment with all tracks locally.

---

## 🛠 Suggested Tools & Resources (General)

These tools are helpful across all tracks:

| Tool / Resource | Purpose | Link |
|-----------------|---------|------|
| Python | Programming language for agent orchestration and data processing | [Python](https://www.python.org/) |
| Pandas / NumPy | Data manipulation and analytics | [Pandas](https://pandas.pydata.org/), [NumPy](https://numpy.org/) |
| OpenAI API / Hugging Face | NLP, agent orchestration, and AI modeling | [OpenAI](https://platform.openai.com/), [Hugging Face](https://huggingface.co/) |
| BeautifulSoup / Selenium | Web scraping and automation | [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/), [Selenium](https://www.selenium.dev/) |
| Streamlit / Dash | Build interactive dashboards for monitoring AI agents | [Streamlit](https://streamlit.io/), [Dash](https://plotly.com/dash/) |
| Git / GitHub | Version control for code, notebooks, and scripts | [GitHub](https://github.com/) |
| SQLite / PostgreSQL | Local database for storing agent outputs or datasets | [SQLite](https://www.sqlite.org/), [PostgreSQL](https://www.postgresql.org/) |

---

## ⚡ Highlights

- All tracks are designed with **Agentic AI architecture**: Master Agent orchestrates multiple Worker Agents.
- Each track includes **demo-ready workflows** and resources to quickly implement PoC or hackathon submissions.
- Extensive **links to research papers, public APIs, and GitHub repos** for immediate integration.
- Modular folder structure allows you to focus on one domain at a time while maintaining a **centralized hub**.

---

## 📌 Notes

- Ensure you have **Python 3.10+** and required libraries installed.
- For web scraping, some scripts may require headless browser setup.
- Public APIs like **NPI Registry**, **Google Maps**, or **CMS** are free but may have rate limits.
- Use the suggested datasets or synthetic generators to simulate real-world scenarios when live data isn’t accessible.

---

💡 **Tip:** Keep this main README open as your starting point. Navigate to each track for detailed instructions, resources, and implementation guides.

---

## 🔗 Connect / Follow Me

Stay updated and get more insights on these projects:

- **Instagram:** [@i.amparas](https://www.instagram.com/i.amparas)
- **LinkedIn:** [Paras Atal](https://www.linkedin.com/in/parasatal)
- **YouTube:** [Paras Atal](https://www.youtube.com/@i.amparas )

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