🚀 Vibe Coding Projects

Four data analytics dashboards, each generated from a single detailed prompt using AI coding assistants inside VS Code, then deployed as live Streamlit apps.

This repository is my vibe coding lab: a place where I test how far clear thinking, good prompting and AI tools can take an analytics idea, from a business question to a deployed dashboard.

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🔗 Live Projects

Project	Live App	Code
🛒 Blinkit Operations Analytics	Open app	Folder
👥 IBM HR Analytics ("People Signals")	Open app	Folder
🎬 Netflix Data Analysis	Open app	Folder
🏪 Supermarket Sales Dashboard	Open app	Folder

📸 Preview

🛒 Blinkit	👥 IBM HR

🎬 Netflix	🏪 Supermarket

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🤖 How These Projects Were Built

Every project in this repository was built through AI-assisted development, and I want to be fully transparent about it:

• Zero lines of code were typed by hand. All code was generated by AI assistants (IBM Bob and GitHub's AI tooling) working inside VS Code.
• Each project started from one single, detailed prompt. The quality of the result came from the quality of the instructions: the business goal, the dataset, the metrics, the dashboard layout and the expected insights were all defined up front.
• The human role was direction, not typing. I chose the problems, defined what "good" looks like, reviewed the output, fixed issues (for example, dataset paths and deployment errors), and shipped the apps live.

Why this matters

Modern analytics work is moving toward AI-assisted workflows. These projects show that I can:

Skill	What it looks like here
🎯 Problem framing	Turning a business scenario into a precise, buildable specification
✍️ Prompt engineering	Getting a complete, working dashboard from a single well-structured prompt
🔍 Critical review	Checking AI output, spotting bugs, and fixing them
🚢 End-to-end delivery	Version control on GitHub and deployment on Streamlit Cloud
⚡ Speed	Moving from idea to live product in a fraction of the traditional time

These are AI-assisted builds and I present them as exactly that. My hand-written analysis work (SQL, Pandas, EDA, statistics and Forage simulations) lives in separate repositories.

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🛠️ Tech Stack

• Language: Python
• Libraries: Pandas, Plotly, Streamlit
• Development: VS Code with IBM Bob and GitHub AI assistants
• Deployment: Streamlit Community Cloud
• Version control: Git and GitHub

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📁 Repository Structure

vibe-coding-projects/
├── Blinkit-Operations-Analytics-Vibe_coding/
├── IBM-HR_Analytics/
├── Netflix/
├── Supermarket-Sales-Dashboard-Vibe-Coding/
├── LICENSE
└── README.md

Each project folder has its own README with the project details.

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▶️ Run Any Project Locally

# 1. Clone the repository
git clone https://github.com/Himanshu-5680/vibe-coding-projects.git

# 2. Open a project folder (example: Blinkit)
cd vibe-coding-projects/Blinkit-Operations-Analytics-Vibe_coding

# 3. Install dependencies
pip install -r requirements.txt

# 4. Start the app
streamlit run app.py

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📬 Connect With Me

• 💼 LinkedIn
• 📧 hh5680903@gmail.com
• 🏅 Credly
• 📊 tableau public

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📄 License

This project is licensed under the MIT License.