This kit assist to development a web application for the donor to make a meaningful contribution to the community.This is a solution that developed by team blindSpot for Build with AI 2021 Hackathon.High-Level ConceptAn integrated management platform which will benefit all the parties (AGA/NGOs, Partners, Communities and Families).Strong analytics and predictions (backed by AI) to understand the trends in demands vs supply:Identification of unwanted donationsIdentification of required order items not being fulfilledPast/present trends across AGA/NGOs-Partners-Community locations and over period of time Real-time predictions of demand - continuously updated by tracking donations from Partners received, and new order for items are requestedReal-time inventory data Findings/trends accessible to AGA/NGOs-Partners-Community to allow actionable items Work with AGA/NGOs-Partners-Community and provide consulting and advice on actionable items to address issuesAnalytics and Predictions DashboardA centralised platform where AGA/NGOs-Partners-Community can tap into their own data to understand the behaviour of the supply/distribution of donations by the partners against the needs of the communities.The application will provide a dashboard/platform to conveniently and effectively display the various analytics and predictions. The outcome will be actionable items for the AGA/NGOs-Partners-Community to address the issues.
Use the open source, cloud APIs, or public libraries listed below in your application development based on your technology preferences, such as primary language. The below list also provides a view of the components' rating on different dimensions such as community support availability, security vulnerability, and overall quality, helping you make an informed choice for implementation and maintenance of your application. Please review the components carefully, having a no license alert or proprietary license, and use them appropriately in your applications. Please check the component page for the exact license of the component. You can also get information on the component's features, installation steps, top code snippets, and top community discussions on the component details page. The links to package managers are listed for download, where packages are readily available. Otherwise, build from the respective repositories for use in your application. You can also use the source code from the repositories in your applications based on the respective license types.
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.We use Prophet to predict the food demands / needs from the Community.
The entire solution is available as a package to download and install from the source code repository. Prerequisite: Python3Follow below instructions to download and deploy the solution. 1. Open Command Line Interface 2. Run the command 'git clone https://github.com/CassieLeong/Community-Demand-Prediction.git' to clone the repository 3. Run the command 'pip install -r requirements.txt' to install all the dependencies 5. Run the command 'streamlit run main.py'If there're any challenges while installing dependencies, run the command below to upgrade pip and try again. python -m pip install --upgrade pip
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