https://github.com/balaji-r-05/aiml-mini-projects
https://github.com/balaji-r-05/aiml-mini-projects
Last synced: 10 months ago
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- Host: GitHub
- URL: https://github.com/balaji-r-05/aiml-mini-projects
- Owner: Balaji-R-05
- Created: 2025-06-23T09:08:22.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-23T18:17:04.000Z (about 1 year ago)
- Last Synced: 2025-06-23T19:29:07.926Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 1.73 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AIML MINI PROJECTS
This repository includes AI and ML-focused mini projects ranging from simple ML models to NLP and computer vision applications.
## 📁 Projects Included
| Project Name | Description |
| --------------------------- | ---------------------------------------------------------------------------------------------------------- |
| `AI Ping Pong` | A simple **computer vs human** ping-pong game |
| `House Price Prediction` | Predicting house price based on area using **linear regression**. |
| `Salary Price Prediction` | Predicting salary based on experience using **linear regression**. |
| `Laptop Price Prediction` | Learned advanced **data preprocessing** and **feature engineering**. |
| `Startup Profit Prediction` | Predicting profit using **mutiple regression** and **categorical encoding**. |
| `Grocery List Categorizer` | Using **ollama** to categorize grocery items |
| `Review-Sentiment-Analysis` | Sentiment analysis using **MultinomialNB** and **CountVectorizer** |
| `Sales Data Analysis` | Simple data analysis using **bar** and **pie chart** |
| `Iris REST API` | A simple FastAPI-based REST API for predicting Iris flower species using a **RandomForest** model. |
## ⚙️ Running the Projects
### 1. Clone Repository
```bash
git clone https://github.com/Balaji-R-05/aiml-mini-projects.git
cd aiml-mini-projects
```
### 2. Create python environment and activate it
```bash
python -m venv venv
.\venv\Scripts\activate # Windows
source venv/bin/activate # Linux/MacOS
```
### 3. Install required libraries
```bash
pip install -r requirements.txt
```