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WEB103 Project 1 - LLM-List - "Neural"

Submitted by: James Bustos

About this web app: The goal of this app is to list and organize the growing list of AI models by size, type, organization, licensing, and much more. Features such as filters, live examples, code snippets, documention, and tools are yet to be implemented but will be part of the objective for this project.

Time spent: 72 hours

Required Features

The following required functionality is completed:

  • The web app uses only HTML, CSS, and JavaScript without a frontend framework
  • The web app displays a title
  • The web app displays at least five list items, each with at least three attributes (such as title, text, and image url)
  • The user can click on each item in the list to see a detailed view of it, including all database fields
    • Note: When showing this feature in the video walkthrough, please show the unique URL for each detailed view. We will not be able to give points if we cannot see the implementation
  • The web app serves an appropriate 404 page when no matching route is defined
  • The web app is appropriately styled using Picocss

The following optional features are implemented:

  • The web app displays items in a unique format, such as cards rather than lists

The following additional features are implemented:

  • Header and footer were added for a fuller experience
  • Additional css for great styling
  • Mobile friendly

Video Walkthrough

neural-demo.mov

Notes

Not related to the app but got sick the week of my project so was hard to finish on time. Otherwise, the project went smooth and the lab helped a lot in getting me started, thank you.

License

Copyright [2023] [James Bustos]

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

WEB103 Project 2 - LLM-List - "Neural"

Submitted by: James Bustos

About this web app: The goal of this app is to list and organize the growing list of AI models by size, type, organization, licensing, and much more. Features such as filters, live examples, code snippets, documention, and tools are yet to be implemented but will be part of the objective for this project.

Time spent: 48 hours

Required Features

The following required functionality is completed:

  • The web app uses only HTML, CSS, and JavaScript without a frontend framework
  • The web app is connected to a PostgreSQL database, with an appropriately structured database table for the list items
  • The PostgreSQL database includes a table that matches the data displayed in the web app
    • NOTE: Your GIF or a screenshot added to the README must include a view of your Railway database that shows the contents of the table used by your app

The following optional features are implemented:

  • The user can search for items with a specific attribute

Video Walkthrough

Postgres_demo.mov

Notes

Never worked with railway before, however, the process was smooth and clear in the instructions. Everything went okay had some issues with property names that conflicted with keywords. Otherwise, everything went well.

License

Copyright [2023] [James Bustos]

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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The goal of this app is to list and organize the growing list of AI models by size, type, organization, licensing, and much more.

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