{"id":28320738,"url":"https://github.com/sans11pentium/garbage-classification-chsw","last_synced_at":"2026-04-30T19:32:31.133Z","repository":{"id":289795724,"uuid":"964929584","full_name":"Sans11Pentium/Garbage-Classification-CHSW","owner":"Sans11Pentium","description":"Classify an image into the various classes of garbage.","archived":false,"fork":false,"pushed_at":"2025-04-25T04:11:35.000Z","size":20136,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-23T20:50:26.833Z","etag":null,"topics":["streamlit"],"latest_commit_sha":null,"homepage":"https://garbage-classifier-chsw.streamlit.app/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Sans11Pentium.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-04-12T03:47:30.000Z","updated_at":"2025-04-25T04:11:38.000Z","dependencies_parsed_at":"2025-04-25T05:35:10.064Z","dependency_job_id":null,"html_url":"https://github.com/Sans11Pentium/Garbage-Classification-CHSW","commit_stats":null,"previous_names":["sans11pentium/garbage-classification-chsw"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Sans11Pentium/Garbage-Classification-CHSW","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sans11Pentium%2FGarbage-Classification-CHSW","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sans11Pentium%2FGarbage-Classification-CHSW/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sans11Pentium%2FGarbage-Classification-CHSW/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sans11Pentium%2FGarbage-Classification-CHSW/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sans11Pentium","download_url":"https://codeload.github.com/Sans11Pentium/Garbage-Classification-CHSW/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sans11Pentium%2FGarbage-Classification-CHSW/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32475192,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"ssl_error","status_checked_at":"2026-04-30T13:12:06.837Z","response_time":57,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["streamlit"],"created_at":"2025-05-25T11:12:16.267Z","updated_at":"2026-04-30T19:32:31.128Z","avatar_url":"https://github.com/Sans11Pentium.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🗑️ Garbage Classifier Streamlit App\r\n\r\nThis is a simple web application built with Streamlit that allows users to classify an uploaded image of waste into one of six predefined categories. It utilizes a trained model in TFLite format to make real-time predictions directly in the browser.\r\n\r\n## 🚀 Features\r\n\r\n- Upload an image of waste material\r\n- Automatically predicts the class of garbage\r\n- Easy-to-use and interactive interface\r\n- Fast and efficient inference using TensorFlow Lite\r\n\r\n### 🛠️ MobileNet to TFLite Conversion for Edge Impulse (TinyML Deployment)\r\n\r\nTo deploy the trained MobileNet model on an edge device using **Edge Impulse**, it was converted to the TensorFlow Lite (TFLite) format. This enabled real-time inference on resource-constrained hardware as a TinyML application. \r\nLink to live inferencing on EdgeImpulse : https://smartphone.edgeimpulse.com/classifier.html\r\n\r\n#### Steps Followed:\r\n1. **Model Training**  \r\n   This lightweight `MobileNetV2` model using TensorFlow/Keras trained on the garbage classification dataset is designed to be efficient and suitable for edge deployment.\r\n2. **TFLite Conversion**  \r\n   After training, model was converted to a `.tflite` format using the TFLite converter.\r\n   \r\n## 🧠 Supported Classes\r\n\r\nThe app classifies the uploaded image into one of the following categories:\r\n\r\n1. **Glass**\r\n2. **Paper**\r\n3. **Cardboard**\r\n4. **Plastic**\r\n5. **Metal**\r\n6. **Trash**\r\n\r\n## 📦 Access the app \r\n\r\nLink is provided in the desription of this repository.\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsans11pentium%2Fgarbage-classification-chsw","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsans11pentium%2Fgarbage-classification-chsw","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsans11pentium%2Fgarbage-classification-chsw/lists"}