https://github.com/hunterdii/ai-nexus
AI Nexus 🌟 is a streamlined suite of AI-powered apps built with Streamlit. It features 👗 StyleScan for fashion classification, 🩺 GlycoTrack for diabetes prediction, 🔢 DigitSense for digit recognition, 🌸 IrisWise for iris species identification, 🎯 ObjexVision for object recognition, and 🎓 GradeCast for GPA prediction with detailed insights.
https://github.com/hunterdii/ai-nexus
cifar10-classification datascience diabetes-prediction diabetes-risk-prediction good-first-issue gpa-prediction gradient-boosting iris-flower-classification keras-classification-models knn-algorithm knn-classification linear-regression machine-learning mnist-classification mnist-fashion-classification python3 random-forest-regression streamlit tensorflow-models xgboost-algorithm
Last synced: 27 days ago
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AI Nexus 🌟 is a streamlined suite of AI-powered apps built with Streamlit. It features 👗 StyleScan for fashion classification, 🩺 GlycoTrack for diabetes prediction, 🔢 DigitSense for digit recognition, 🌸 IrisWise for iris species identification, 🎯 ObjexVision for object recognition, and 🎓 GradeCast for GPA prediction with detailed insights.
- Host: GitHub
- URL: https://github.com/hunterdii/ai-nexus
- Owner: Hunterdii
- License: mit
- Created: 2024-08-30T05:45:17.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-04-12T17:55:35.000Z (about 1 month ago)
- Last Synced: 2026-04-12T19:24:25.344Z (about 1 month ago)
- Topics: cifar10-classification, datascience, diabetes-prediction, diabetes-risk-prediction, good-first-issue, gpa-prediction, gradient-boosting, iris-flower-classification, keras-classification-models, knn-algorithm, knn-classification, linear-regression, machine-learning, mnist-classification, mnist-fashion-classification, python3, random-forest-regression, streamlit, tensorflow-models, xgboost-algorithm
- Language: Jupyter Notebook
- Homepage:
- Size: 71.6 MB
- Stars: 14
- Watchers: 1
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Security: SECURITY.md
Awesome Lists containing this project
README
# 🤖 **AI Nexus - Multi-Purpose AI/ML Hub**
**AI Nexus** is a central repository that brings together a collection of advanced AI and ML applications. These projects span a wide range of use cases, from image classification to predictive healthcare models.
---
## 🌐 **Project Highlights**
1. **👗 StyleScan - Fashion MNIST Image Classification**
2. **🩺 GlycoTrack - Advanced Diabetes Prediction**
3. **🌸 IrisWise - Iris Species Classification**
4. **🎓 GradeCast - GPA Prediction Model**
5. **🧮 DigitSense - MNIST Handwritten Digit Classifier**
6. **🖼️ ObjexVision - CIFAR-10 Object Recognition**
---
## 🎨 **Project Image Previews**
### 🧮 **DigitSense - MNIST Handwritten Digit Classifier**
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|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
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### 🩺 **GlycoTrack - Advanced Diabetes Prediction**
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|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
---
### 🎓 **GradeCast - GPA Prediction Model**
|  |  |
|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
---
### 🌸 **IrisWise - Iris Species Classification**
|  |  |
|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
---
### 🖼️ **ObjexVision - CIFAR-10 Object Recognition**
|  |  |
|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
---
### 👗 **StyleScan - Fashion MNIST Image Classification**
|  |  |
|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
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---
## 🚀 **Quick Links to Live Demos**
| **Project** | **Live Link** |
|------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|
| **👗 StyleScan - Fashion MNIST Image Classification** | [](https://stylescan.streamlit.app/) |
| **🩺 GlycoTrack - Advanced Diabetes Prediction** | [](https://glycotrack.streamlit.app/)|
| **🧮 DigitSense - MNIST Handwritten Digit Classifier**| [](https://predictadigit.streamlit.app/)|
| **🌸 IrisWise - Iris Species Classification** | [](https://iriswise.streamlit.app/) |
| **🖼️ ObjexVision - CIFAR-10 Object Recognition** | [](https://objexvision.streamlit.app/)|
| **🎓 GradeCast - GPA Prediction Model** | [](https://gradecast.streamlit.app/) |
---
## 📂 Projects Overview
### 1. **🩺 GlycoTrack - Advanced Diabetes Prediction**
An intuitive app for predicting diabetes based on health metrics like Glucose, Blood Pressure, BMI, etc. It uses various machine learning models (KNN, Random Forest, SVM, etc.) to provide predictions and performance insights.
**Features:**
- Real-time diabetes prediction
- Interactive user interface with animations
- Supports multiple machine learning models
### 2. **🌸 IrisWise - Iris Species Classification**
Predict the species of Iris flowers based on input features (sepal and petal dimensions) using K-Nearest Neighbors and other machine learning models.
**Features:**
- Real-time iris species prediction
- Dynamic visualizations and tooltips for enhanced user experience
### 3. **🎓 GradeCast - GPA Prediction Model**
Estimate GPA/CGPA based on student performance data, providing an accurate prediction of academic success. Built using regression models.
**Features:**
- Input academic scores to predict GPA
- Simple and user-friendly interface
### 4. **🧮 DigitSense - MNIST Handwritten Digit Classifier**
Identify handwritten digits (0-9) with this accurate, real-time classifier powered by a CNN model.
**Features:**
- Recognizes digits from 0-9
- Instant results with confidence scores
### 5. **👗 StyleScan - Fashion MNIST Image Classification**
Predict the clothing category from grayscale images of fashion items (shirts, shoes, dresses, etc.) using deep learning models.
**Features:**
- Classifies 10 categories of fashion items
- Accurate predictions using CNN architecture
### 6. **🖼️ ObjexVision - CIFAR-10 Object Recognition**
Recognizes 10 types of objects including airplanes, birds, and automobiles using CNNs.
**Features:**
- Real-time object recognition
- 10 object categories with instant prediction feedback
## 🛠️ Installation & Setup
To set up any of the projects, follow the steps below:
1. **Clone the Repository:**
```bash
git clone https://github.com/Hunterdii/AI-Nexus.git
```
2. **Navigate to the Desired Project Directory:**
For example, for StyleScan:
```bash
cd AI-Nexus/StyleScan
```
For example, for GlycoTrack:
```bash
cd AI-Nexus/GlycoTrack
```
For example, for GradeCast:
```bash
cd AI-Nexus/GradeCast
```
For example, for ObjexVision:
```bash
cd AI-Nexus/ObjexVision
```
For example, for Iriswise:
```bash
cd AI-Nexus/Iriswise
```
For example, for DigitSense:
```bash
cd AI-Nexus/DigitSense
```
4. **Install Dependencies:**
Install the required packages listed in the `requirements.txt` file:
```bash
pip install -r requirements.txt
```
5. **Run the Application:**
Start the Streamlit app by running:
```bash
streamlit run app.py
```
6. **Access the App in Browser:**
Open your browser and navigate to `http://localhost:8501` to view and interact with the application.
## 📈 Future Enhancements
- Adding more AI/ML models for healthcare and image recognition.
- Deploying all apps for broader accessibility and public demos.
- Introducing more advanced animations and dynamic visualizations.
## 💡 Customization & Contributions
Feel free to fork this repository, customize the UI, or add new machine learning models. Contributions are welcome! Make sure to submit a pull request with your proposed changes.
---
Happy exploring!