Demo Video submitted at (https://drive.google.com/file/d/12zs2EItAE8EZoGGazJY5hPQIxK-KoAmI/view?usp=share_link)
Bug Fixes and overall stability bump, fixed CSS issues, backend bugs related to recursive collections and importing bookmarks from different browser
Added Searching and Filtering logic to the API. Created search indexes using MongoDB Atlas which drastically improved search loading times and added across all collections
Added Frontend with custom search and filters based on 4 types favourites, URL, raw search, tags
Many more UI enhancements, including toasts, updated skeletons, DARK-Mode support
Updated structure of collections to support nested folder structure and built the UI for it
Use of Naive QUIC as a replacement for TCP in rumqtt has been implemented.
Demo Video created at https://youtu.be/Eqarz4dFGnU
Demo Videos added and Final commit done, was extremely fun
finished the project
Final commit for dyslexia completed and video submission also done...Good hacking guys, this is Team DISS-LEXIA signing off
Final commit completed with complete UI and base changes, along with all documentation and links.
Uploaded a package on PyPi for the helios flight simulator
Final Code was pushed and the demonstration video was made
Video URL: https://youtu.be/grVCsJpCHCU
We are unable to submit a video demo at the moment as certain bugs have not been resolved in time. The GitHub repository for our profile is given below: https://github.com/rohan-sonthalia/AutoPreprocessor
Merged Commit to the website
Add images list and button to delete image
fixed minor bugs! added functionality to print receipt demo video link is updated
Attached demo video
Added Demo Video, attached final Git Repo Link.
- We are now able to calculate the emotion based on the song that the user is listening to.
TODO: Create a video demo
: The Melos Team
Final commit included with dashboard and visualisation
Finishing up on implementing TTS and cleaning up
We have some issues left to rectify regarding the design and frontend, else the webapp is read to go.
Implemented Word Highlight functionality for DISS-Lexia
Added MERGE PDFs functionality for 2 PDFs.
Changes committed on GitHub
demo video added
App Functionality completed with git push
Made slight changes to the website hyperlinks
All issues solved
Next git commit
DEMO video in progress
All Project files Integrated successfully
Pushed the final Commit and added detailed documentation. The apk has been published as a release in the git repo
Model explanation with a demo video in progress.
Documentation of the model is in progress.
Added default values to variable constraints such as parachute diameter, refeed diameter, rocket length, etc.. to enhance user experience. This allows the user to run the program whether or not they have all the necessary data required to run the code.
Refactoring round 2
Switched from UI to CLI-based input, making the code easier to run, user-friendly, and running external scripts.
Front End Completed. Back End in Progress.
Back-end integration in progress
All webpages are completed and only project files need to be integrated.
We have updated the shop page and rewards page with user input details.
Built the feature to provide detailed reports including user inputs, output parameters, 2D & 3D trajectory plots detailing the rocket performance.
Refactored the codebase, grouped similar functions together, and made the codebase structured, and easier to contribute to.
Accumulated all functions and performed testing with sample values.
Created different methods to formulate rocket parameters i.e. aerodynamics and propulsion effects of rocket's trajectory.
Incorporated relevant Matrix and Differential Equations calculations and the algorithm to model the 6-Degrees of Freedom (DoF) rocket's trajectory. A mindmap planning out the entire process.
Front end completed.
Completed UI/UX and Backend , connection in progress 📈
- code quality improvements done
- published to NPM
- code documentation and standard logging added
UI/UX Design Completed, coding in progress
Raven - Messages can be viewed on the mobile app now. File and image uploads are working on the web app. Today's target is to be able to send and receive messages on the mobile app.
About page done
Started making the CLI for the same. Seems like a win maybe
Fixing errors, database connection partially completed
used a transcript to extract the entire text from speech file used an algorithm to summarise the same .
Migrated core API calls to react-query to simplify development and provide a cache on client
Drastically enhanced the existing UI -> added infinite scroll -> added pagination -> added loaders / skeletons -> added toasts -> revamped layout
Added support for nested collections
- Created and Initialized the assisting application.
- Added the base functionality to the assisting application.
: The Melos Team
Added start and stop container buttons
Added list of docker containers, images functionality
Got stuck with some system errors while creating VS code extension.
Finally, All the core functionality is working.
Core features added
- Getting img url, text alongside the source URL
- further extensible code to include future inclusions
- A basic collection management UI
- Polished popup UI
Communication btw site UI, Popup UI and Background Worker is bit clunky and done after a long manual testing of extension API and even going through Chromium source code itself at a certain point to look at undocumented APIs. Now, onto building upon these core feats....
Studied about VS code extensions
Implemented initial, naive QUIC support in the broker and client, facing an issue with network timeouts that need to be verified and fixed, but plan is working as expected. screenshot: https://pasteboard.co/f92s3laUOHaB.png
user interface and backend is done! and updated in github
Day 2 morning 1.43 am
Whole ui is complete, finished building google oauth, currently building ts validation schemas.
Currently testing the all api end points
Hoping to integrate all the apis by morning
Integrating Modules & Implementing Design
Next git commit
We have developing an Library and Application
ChatNeuron Library developers can able to train model by just uploading the data. An Application backend work and frontend is parallely going on to provide an easy access to the end user and developer.
ChatNeuron Application helps to end user to integrate chatbot with their application. Library backend is going on model aricturacture and helper function are coded.
We have architected the project into three services: 1) Platform-core 2) Device- core 3) Dashboard
We have finished the initial work on the Platform-core backend service and have begun integration with the Dashboard.
We have completed the MQTT communication channel between the Platform-core and Device-core.
The Dashboard components are almost finished.
- Code Generation from Lama2: Earlier we were not able to generate useful API request code snippets from Lama2's
.l2files. With the new code generation feature, we can generate API code in 18 languages (and 37 libraries). We use our own custom fork of httpsnippet library to accomplish this. We load up an httpsnippet bundle into a goja VM within our golang codebase to perform the conversion in the core component. In the frontend, the VSCode extension adds a new menu item called "Lama2: Generate Code Snippet" under which all languages and libraries can be accessed.
- VSCode Env Variable AutoComplete: Lama2 provides a feature to load up environment variables into API definition files. We often felt friction when trying to make minor changes to these variables (such as switching from local base URL to prod base URL, etc). The autocompletion feature helps us remove this friction. Find extension changes here: https://github.com/HexmosTech/Lama2Code/
- JSON prettification within l2 file: Often we noticed that the l2 files become messy/disorganized when dealing with medium/large size JSON inputs. Made modifications to the golang core to support a new
l2 -b targetFileoption to enable JSON prettification. Tomorrow, we will add a VSCode UI hook to simplify the action.
Created basic UI of the extension. Working on some of the back end stuffs to be sorted. Slowly cruising through bugs and trying to rectify them
Working on back-end integration with front-end
Just when life was going like a breeze, Two bugs came and bit us. 1 UI, 1 Backend. The hustle continues.
Added local storage to save the snippets using bolt DB
List view added
added a list view that display attendees in a list
database authentication permissions
An Open to all Forum Where You can Share World Problem tackling to them with a solution .
Front-end first push
Build a snippet manager in cmd with go lang with basic functionality
Design and backend implementation completed. Currently focusing on frontend and API integration
- Mobile app now shows the list of channels and the user profile
- File drop works on web app
- Emoji picker now supports dark mode
- Duplicate check added for channel names
Today's target is to be able to show messages and send messages on the mobile app. On the web app, we aim to be able to view files and image based messages in the chat screen.
Created commands for docker management partially
Design Completed. Front-end coding progress.
Initial Front-end push
Ui & Design process completed. Our team is now deep into implementation.
Our project workflow is divided into 3 parts 1. Realtime audio/music sink 2. Quick analytics 3. A scintillating presentation
Our checkpoints for the end of the day have been met, with a conclusion to the 1st part, and a part of the 3rd
: The Melos Team
Finished Design and implemented Google oAuth.
day 1 : 4.18 pm
designed and coded dashboard,home page and navbar added supertokens with nest js, integrated with supertokens
Updated bulk image download feature
Early prototype is done at commit https://github.com/PDFilez/snipd/commit/692c0aaa04251ae914e84eb05519a8a65bcc67e9
Have some issues with overcoming incomplete Browser Extension API, copying from PDF files.
Started with learning GoLang