The important features of the dashboard, 

1. Personalized Recommendations. 

We will fetch the past contributions of the user, and the projects that will have keywords and entities extracted from them will then be used as search parameters to display the nearest neighbors based on context.  

b. Tags such as - Social, Gaming, Protocol, and Decentralised Finance, each of them will be associated with a different list of keywords, these keywords will be used to find similarity between the vectorized embeddings of the projects. 

c. Least Donated, Super New initiatives - This will be a binary classification. For least donated it is similar to something that already exists now, for the super new initiatives, we will be using a custom classifier. The aim is to bring discoverability to new projects.  

d. The Bubble Graph has three main features, 

1. Size
2. Alignment
3. Color

Each bubble on the graph represents a single project. We are most likely to click on the biggest bubble. Thus, the size of the bubble will be randomly decided and will change on each refresh. The alignment of the bubble will be based on where the embedding contextualization lies (based on vector embeddings), the idea is to group similar projects. The color of the bubble denotes the categorization done on top. When a new search is made, the search will be highlighted by giving it a color while greying the rest of the bubbles. 

e. The tooltip, 

On hovering the each project essential details about a product will be listed, this will give him a quick overview of the project. 

f. OnClick, 

On click of the bubble the data will load on the right side, this will be the entire grant information (same as onclick right now). The url will also change, so that people can share the page for others to vote.