https://github.com/soloeinsteinmit/navig8u-ai
Navig8U AI is a smart campus navigation app is a school project I designed to help users navigate the University of Cape Coast (UCC) campus by identifying buildings through images. Users can take pictures of unique buildings, and the app will predict the building's name based on the image.
https://github.com/soloeinsteinmit/navig8u-ai
Last synced: over 1 year ago
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Navig8U AI is a smart campus navigation app is a school project I designed to help users navigate the University of Cape Coast (UCC) campus by identifying buildings through images. Users can take pictures of unique buildings, and the app will predict the building's name based on the image.
- Host: GitHub
- URL: https://github.com/soloeinsteinmit/navig8u-ai
- Owner: soloeinsteinmit
- Created: 2024-08-24T21:22:12.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-29T09:39:16.000Z (almost 2 years ago)
- Last Synced: 2024-08-29T10:43:00.817Z (almost 2 years ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 2.14 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Smart Campus Navigation App
## Overview
The Smart Campus Navigation App is a school project I designed to help users navigate the University of Cape Coast (UCC) campus by identifying buildings through images. Users can take pictures of unique buildings, and the app will predict the building's name based on the image.
This project is still in development, with a primary focus on building and fine-tuning the Machine Learning model for image classification and an immersive mobile app with and intuitive ui. The data and images used are specific to the UCC campus.
## Current Status
- 🚧 Project In Progress: The project is not complete yet. The machine learning model has been written but is currently undergoing further tuning to improve accuracy and performance.
- 🌐 Dataset: The dataset is specific to UCC campus buildings. However, it has not yet been uploaded to an online cloud service.
## Features
- Image Recognition: Classifies images of campus buildings.
- Data Augmentation: Enhances the training dataset with various transformations.
- Model Evaluation: Includes accuracy and loss visualization, and confusion matrix for performance analysis.
- Prediction: Allows users to upload an image and get a prediction on which building it represents.
## Notes
- ⚠️ The dataset used for this project is specific to the University of Cape Coast(UCC) campus and has not been uploaded to an online cloud yet.
- 🛠️ The model is still undergoing tuning and adjustments for better accuracy. Contributions or suggestions for improvements are welcome.
- 🚧 This was a school project I was working and as such, it is still under development with data sourced directly from images taken on the UCC campus.