{"id":49171607,"url":"https://github.com/hunterdii/ai-nexus","last_synced_at":"2026-04-22T19:03:50.280Z","repository":{"id":350911998,"uuid":"849719338","full_name":"Hunterdii/AI-Nexus","owner":"Hunterdii","description":"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.","archived":false,"fork":false,"pushed_at":"2026-04-12T17:55:35.000Z","size":75116,"stargazers_count":14,"open_issues_count":0,"forks_count":8,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-04-12T19:24:25.344Z","etag":null,"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"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Hunterdii.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-08-30T05:45:17.000Z","updated_at":"2026-04-12T17:55:40.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/Hunterdii/AI-Nexus","commit_stats":null,"previous_names":["hunterdii/ai-nexus"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/Hunterdii/AI-Nexus","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hunterdii%2FAI-Nexus","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hunterdii%2FAI-Nexus/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hunterdii%2FAI-Nexus/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hunterdii%2FAI-Nexus/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Hunterdii","download_url":"https://codeload.github.com/Hunterdii/AI-Nexus/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hunterdii%2FAI-Nexus/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32150399,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-22T17:06:48.269Z","status":"ssl_error","status_checked_at":"2026-04-22T17:06:19.037Z","response_time":58,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["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"],"created_at":"2026-04-22T19:03:49.105Z","updated_at":"2026-04-22T19:03:50.255Z","avatar_url":"https://github.com/Hunterdii.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003c!--# 🤖 AI Nexus - Multi-Purpose AI/ML Hub\n\n**AI Nexus** is a central repository that hosts multiple AI/ML projects under one roof. From image classification to healthcare predictions, explore a diverse range of applications powered by advanced machine learning algorithms.\n\n## Projects Included:\n\n1. **👗 StyleScan - Fashion MNIST Image Classification**\n2. **🩺 GlycoTrack - Advanced Diabetes Prediction**\n3. **🌸 IrisWise - Iris Species Classification**\n4. **🎓 GradeCast - GPA Prediction Model**\n5. **🧮 DigitSense - MNIST Handwritten Digit Classifier**\n6. **🖼️ ObjexVision - CIFAR-10 Object Recognition**\n\n\n\n| **DigitSense**                                                                                                          | **GlycoTrack**                                                                                                           | **GradeCast**                                                                                                         |\n|-------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|\n| ![DigitSense Screenshot 1](https://github.com/user-attachments/assets/07b2da72-ab12-4b1e-a34a-eb7ea2a8f7e4)             | ![GlycoTrack Screenshot 1](https://github.com/user-attachments/assets/78e93cff-fb58-4ec3-875b-c7f7c0ede361)             | ![GradeCast Screenshot 1](https://github.com/user-attachments/assets/3edb12e1-1315-4b7c-b276-32702cc81c2b)            |\n| ![DigitSense Screenshot 2](https://github.com/user-attachments/assets/5bd05631-063f-4a91-8a5c-6c17ea223734)             | ![GlycoTrack Screenshot 2](https://github.com/user-attachments/assets/77bc11b3-df18-434f-8b1c-293b28106549)             | ![GradeCast Screenshot 2](https://github.com/user-attachments/assets/7a3aefd3-b4d4-455f-b0b7-5c1a261db09a)            |\n\n| **IrisWise**                                                                                                           | **ObjexVision**                                                                                                         | **StyleScan**                                                                                                         |\n|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|\n| ![IrisWise Screenshot 1](https://github.com/user-attachments/assets/c6eb8853-cdbf-490d-808e-321f54aac302)              | ![ObjexVision Screenshot 1](https://github.com/user-attachments/assets/cd711e2c-a57e-42e4-885d-bb2be034cedd)           | ![StyleScan Screenshot 1](https://github.com/user-attachments/assets/f77573fd-621f-4d2f-b639-6e792acbb93b)            |\n| ![IrisWise Screenshot 2](https://github.com/user-attachments/assets/eabe3d13-7678-4f97-9e5d-df8dabe99338)              | ![ObjexVision Screenshot 2](https://github.com/user-attachments/assets/a47caf07-e34f-4950-a28b-5402b11169ef)           | ![StyleScan Screenshot 2](https://github.com/user-attachments/assets/9adc5e4c-2bcd-4076-9a22-0f0cf0747d69)            |\n\n## 🚀 Quick Links to Live Demos\n\n| **Project Name**                                     | **Live Link**                                                                                                          |\n|------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------|\n| **👗 StyleScan - Fashion MNIST Image Classification** | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://stylescan.streamlit.app/) |\n| **🩺 GlycoTrack - Advanced Diabetes Prediction**      | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://glycotrack.streamlit.app/)|\n| **🧮 DigitSense - MNIST Handwritten Digit Classifier**| [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://predictadigit.streamlit.app/)|\n| **🌸 IrisWise - Iris Species Prediction**             | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://iriswise.streamlit.app/)  |\n| **🖼️ ObjexVision - CIFAR-10 Object Recognition**      | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://pictoverse.streamlit.app/)|\n| **🎓 GradeCast - GPA Prediction Model**               | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://gradecast.streamlit.app/) |\n--\u003e\n\n\n\n# 🤖 **AI Nexus - Multi-Purpose AI/ML Hub**\n\n**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.\n\n---\n\n## 🌐 **Project Highlights**\n\n1. **👗 StyleScan - Fashion MNIST Image Classification**\n2. **🩺 GlycoTrack - Advanced Diabetes Prediction**\n3. **🌸 IrisWise - Iris Species Classification**\n4. **🎓 GradeCast - GPA Prediction Model**\n5. **🧮 DigitSense - MNIST Handwritten Digit Classifier**\n6. **🖼️ ObjexVision - CIFAR-10 Object Recognition**\n\n---\n\n## 🎨 **Project Image Previews**\n\n### 🧮 **DigitSense - MNIST Handwritten Digit Classifier**\n\n| ![DigitSense Screenshot 1](https://github.com/user-attachments/assets/07b2da72-ab12-4b1e-a34a-eb7ea2a8f7e4) | ![DigitSense Screenshot 2](https://github.com/user-attachments/assets/5bd05631-063f-4a91-8a5c-6c17ea223734) |\n|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|\n\n---\n\n### 🩺 **GlycoTrack - Advanced Diabetes Prediction**\n\n| ![GlycoTrack Screenshot 1](https://github.com/user-attachments/assets/78e93cff-fb58-4ec3-875b-c7f7c0ede361) | ![GlycoTrack Screenshot 2](https://github.com/user-attachments/assets/77bc11b3-df18-434f-8b1c-293b28106549) |\n|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|\n\n---\n\n### 🎓 **GradeCast - GPA Prediction Model**\n\n| ![GradeCast Screenshot 1](https://github.com/user-attachments/assets/3edb12e1-1315-4b7c-b276-32702cc81c2b)  | ![GradeCast Screenshot 2](https://github.com/user-attachments/assets/7a3aefd3-b4d4-455f-b0b7-5c1a261db09a)  |\n|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|\n\n---\n\n### 🌸 **IrisWise - Iris Species Classification**\n\n| ![IrisWise Screenshot 1](https://github.com/user-attachments/assets/c6eb8853-cdbf-490d-808e-321f54aac302)  | ![IrisWise Screenshot 2](https://github.com/user-attachments/assets/eabe3d13-7678-4f97-9e5d-df8dabe99338)  |\n|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|\n\n---\n\n### 🖼️ **ObjexVision - CIFAR-10 Object Recognition**\n\n| ![ObjexVision Screenshot 1](https://github.com/user-attachments/assets/cd711e2c-a57e-42e4-885d-bb2be034cedd) | ![ObjexVision Screenshot 2](https://github.com/user-attachments/assets/a47caf07-e34f-4950-a28b-5402b11169ef) |\n|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|\n\n---\n\n### 👗 **StyleScan - Fashion MNIST Image Classification**\n\n| ![StyleScan Screenshot 1](https://github.com/user-attachments/assets/f77573fd-621f-4d2f-b639-6e792acbb93b)  | ![StyleScan Screenshot 2](https://github.com/user-attachments/assets/9adc5e4c-2bcd-4076-9a22-0f0cf0747d69)  |\n|-----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|\n| ![StyleScan Screenshot 3](https://github.com/user-attachments/assets/a018a967-07f5-42cd-9135-366462521840)  | ![StyleScan Screenshot 4](https://github.com/user-attachments/assets/46b9f961-b50e-4813-b201-aedd4441ef7d)  |\n\n---\n\n## 🚀 **Quick Links to Live Demos**\n\n| **Project**                                          | **Live Link**                                                                                                          |\n|------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|\n| **👗 StyleScan - Fashion MNIST Image Classification** | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://stylescan.streamlit.app/) |\n| **🩺 GlycoTrack - Advanced Diabetes Prediction**      | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://glycotrack.streamlit.app/)|\n| **🧮 DigitSense - MNIST Handwritten Digit Classifier**| [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://predictadigit.streamlit.app/)|\n| **🌸 IrisWise - Iris Species Classification**        | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://iriswise.streamlit.app/) |\n| **🖼️ ObjexVision - CIFAR-10 Object Recognition**      | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://objexvision.streamlit.app/)|\n| **🎓 GradeCast - GPA Prediction Model**               | [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://gradecast.streamlit.app/) |\n\n---\n\n## 📂 Projects Overview\n\n### 1. **🩺 GlycoTrack - Advanced Diabetes Prediction**\n\nAn 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.\n\n**Features:**\n- Real-time diabetes prediction\n- Interactive user interface with animations\n- Supports multiple machine learning models\n\n### 2. **🌸 IrisWise - Iris Species Classification**\n\nPredict the species of Iris flowers based on input features (sepal and petal dimensions) using K-Nearest Neighbors and other machine learning models.\n\n**Features:**\n- Real-time iris species prediction\n- Dynamic visualizations and tooltips for enhanced user experience\n\n### 3. **🎓 GradeCast - GPA Prediction Model**\n\nEstimate GPA/CGPA based on student performance data, providing an accurate prediction of academic success. Built using regression models.\n\n**Features:**\n- Input academic scores to predict GPA\n- Simple and user-friendly interface\n\n### 4. **🧮 DigitSense - MNIST Handwritten Digit Classifier**\n\nIdentify handwritten digits (0-9) with this accurate, real-time classifier powered by a CNN model.\n\n**Features:**\n- Recognizes digits from 0-9\n- Instant results with confidence scores\n\n### 5. **👗 StyleScan - Fashion MNIST Image Classification**\n\nPredict the clothing category from grayscale images of fashion items (shirts, shoes, dresses, etc.) using deep learning models.\n\n**Features:**\n- Classifies 10 categories of fashion items\n- Accurate predictions using CNN architecture\n\n### 6. **🖼️ ObjexVision - CIFAR-10 Object Recognition**\n\nRecognizes 10 types of objects including airplanes, birds, and automobiles using CNNs.\n\n**Features:**\n- Real-time object recognition\n- 10 object categories with instant prediction feedback\n\n## 🛠️ Installation \u0026 Setup\n\nTo set up any of the projects, follow the steps below:\n\n1. **Clone the Repository:**\n   ```bash\n   git clone https://github.com/Hunterdii/AI-Nexus.git\n   ```\n\n2. **Navigate to the Desired Project Directory:**\n   \u003cbr/\u003e\n   \u003cbr/\u003e\n   For example, for StyleScan:\n   ```bash\n   cd AI-Nexus/StyleScan\n   ```\n   For example, for GlycoTrack:\n   ```bash\n   cd AI-Nexus/GlycoTrack\n   ```\n   For example, for GradeCast:\n   ```bash\n   cd AI-Nexus/GradeCast\n   ```\n   For example, for ObjexVision:\n   ```bash\n   cd AI-Nexus/ObjexVision\n   ```\n   For example, for Iriswise:\n   ```bash\n   cd AI-Nexus/Iriswise\n   ```\n   For example, for DigitSense:\n   ```bash\n   cd AI-Nexus/DigitSense\n   ```\n\n4. **Install Dependencies:**\n   Install the required packages listed in the `requirements.txt` file:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n5. **Run the Application:**\n   Start the Streamlit app by running:\n   ```bash\n   streamlit run app.py\n   ```\n\n6. **Access the App in Browser:**\n   Open your browser and navigate to `http://localhost:8501` to view and interact with the application.\n\n## 📈 Future Enhancements\n\n- Adding more AI/ML models for healthcare and image recognition.\n- Deploying all apps for broader accessibility and public demos.\n- Introducing more advanced animations and dynamic visualizations.\n\n## 💡 Customization \u0026 Contributions\n\nFeel 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.\n\n---\n\nHappy exploring!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhunterdii%2Fai-nexus","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhunterdii%2Fai-nexus","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhunterdii%2Fai-nexus/lists"}