{"id":21803790,"url":"https://github.com/smaranjitghose/auto_vaidya","last_synced_at":"2025-10-26T16:05:01.948Z","repository":{"id":40697221,"uuid":"269780866","full_name":"smaranjitghose/auto_vaidya","owner":"smaranjitghose","description":"An open-source project for applying deep learning to medical scenarios","archived":false,"fork":false,"pushed_at":"2023-03-24T22:10:30.000Z","size":105599,"stargazers_count":20,"open_issues_count":11,"forks_count":19,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-27T10:06:46.079Z","etag":null,"topics":["ch-20","deeplearning","hacktoberfest","medical-imaging","python","slop","slop20","streamlit","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/smaranjitghose.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-06-05T21:20:31.000Z","updated_at":"2025-02-15T03:37:27.000Z","dependencies_parsed_at":"2023-01-23T13:31:31.073Z","dependency_job_id":null,"html_url":"https://github.com/smaranjitghose/auto_vaidya","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaranjitghose%2Fauto_vaidya","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaranjitghose%2Fauto_vaidya/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaranjitghose%2Fauto_vaidya/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smaranjitghose%2Fauto_vaidya/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/smaranjitghose","download_url":"https://codeload.github.com/smaranjitghose/auto_vaidya/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248766765,"owners_count":21158314,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ch-20","deeplearning","hacktoberfest","medical-imaging","python","slop","slop20","streamlit","tensorflow"],"created_at":"2024-11-27T11:51:09.604Z","updated_at":"2025-10-26T16:04:56.897Z","avatar_url":"https://github.com/smaranjitghose.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align = \"center\"\u003eAuto Vaidya\u003c/h1\u003e\n\nAn open source solution for creating end-end web app for employing the power of deep learning in various clinical scenarios like implant detection, pneumonia detection, brain mri segmentation etc.\n\n## Suggestions for PR:\n\n- Please give your PR for the test branch unless requested otherwise by the project maintainer\n- Name your PR appropiately\n- Ensure that you had already raised an issue for this PR and the project maintainer had approved and assigned you\n- In the PR description, typically the following are expected:\n    - Dataset Used:\n    - Dataset Size:\n    - Dataset Source:\n    - Link to Colab Notebook: Please ensure you give access for view to anyone with link\n    - Your Exploratory Data Analysis [Snapshots of the relevant ones and your inference from that]\n    - Any Pre-Processing methods used. [Elaborate on them]\n    - Your framework to train\n    - Different methods used for training\n    - Test/Train Split\n    - Results: Please do not simply state test accuracy. Other perfomance metrics like F1 score,etc are expected\n    - ** Draw a table to show the comparitive analysis of the performance of the different methods you used\n    - Conclusion: Which method you think is best and why?\n- A copy of the notebook used for your training is expected inside the ``notebooks/`` directory.\n- Please name the notebook as ```name_of_the_problem_your_github_username```\n- The model files are expected to be inside a ```models\\name_of_your_problem\\``` directory\n- If you are using TensorFlow 2.0, please give both the h5 as well as saved_model file\n- Once your PR, gets approved uptil this, proceed with a follow up pr to integrate it inside the streamlit app. Refer [this](https://github.com/smaranjitghose/img_ai_app_boilerplate) if you are unaware of how to use streamlit and host it\n- For the streamlit app, it would be a good practice if you define the function for classification/prediction/regression inside a separate python file say ```your_problem_name.py``` and import it inside ```app.py``` ( Believe me this would save a lot of time otherwise wasted in debugging)\n- For the second PR, you are expected to do the above changes and provide screenshots/a small clip of the working model of the app after integrating your model from the previous PR\n- For the second PR, it should be one the test branch only, later the project maintainers will merge it with the master branch for a stable release\n- For PRs, related to frontend please give it to the ```frontend``` branch\n- Once accepted, give a follow up PR to the ```test``` branch to render your html,css files for a page using streamlit\n- As stated above you are expected to give screenshots, descriptions and other details for the PR\n\nEntire App on Heroku: https://auto-vaidya.herokuapp.com/\nFrontend on  Netlify: autovaidya.netlify.app\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmaranjitghose%2Fauto_vaidya","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsmaranjitghose%2Fauto_vaidya","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmaranjitghose%2Fauto_vaidya/lists"}