{"id":20924537,"url":"https://github.com/alkasaliss/whichflower","last_synced_at":"2026-05-04T01:33:19.079Z","repository":{"id":36141827,"uuid":"197743882","full_name":"AlkaSaliss/whichFlower","owner":"AlkaSaliss","description":"# whichFlower : a flower species recognition app using tensorflow/keras and React-Native","archived":false,"fork":false,"pushed_at":"2023-01-04T13:07:45.000Z","size":48379,"stargazers_count":2,"open_issues_count":12,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-13T00:46:04.652Z","etag":null,"topics":["computer-vision","flower-classification","keras","react-native","tensorflow"],"latest_commit_sha":null,"homepage":"https://alkasaliss.github.io/whichFlower/","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/AlkaSaliss.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}},"created_at":"2019-07-19T09:24:56.000Z","updated_at":"2022-08-23T11:33:13.000Z","dependencies_parsed_at":"2022-08-24T04:20:47.429Z","dependency_job_id":null,"html_url":"https://github.com/AlkaSaliss/whichFlower","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AlkaSaliss/whichFlower","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlkaSaliss%2FwhichFlower","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlkaSaliss%2FwhichFlower/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlkaSaliss%2FwhichFlower/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlkaSaliss%2FwhichFlower/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AlkaSaliss","download_url":"https://codeload.github.com/AlkaSaliss/whichFlower/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlkaSaliss%2FwhichFlower/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263069459,"owners_count":23408958,"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":["computer-vision","flower-classification","keras","react-native","tensorflow"],"created_at":"2024-11-18T20:23:13.180Z","updated_at":"2026-05-04T01:33:14.047Z","avatar_url":"https://github.com/AlkaSaliss.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# whichFlower : a flower species recognition app using tensorflow/keras and React-Native\n\n\n\u003cimg src=\"docs/images/demo.gif\" alt=\"demo.gif\" style=\"width:200px;height:400px;\"\u003e\n\n\nAs a passionate person about computer vision (CV), I came to know that model deployment is also important in model development process because the usefulness of a model is measured by the satisfaction of end users. In a previous project I named DEmoClassi (Demographic (age, gender race) and Emotion (happy, neutral, angry, ...) Classification) I tried to turned my trained models in a standalone python module that can be run on windows/Linux using OpenCV. [You can check it here](https://github.com/AlkaSaliss/DEmoClassi).\n\nIn this new project I decided to give mobile technologies a try. Today the models are migrating more and more to the edge devices (mobile, sensors, ... IOT in general). So I started by learning React-Native, a cross-platform mobile development framework developed by Facebook. The course [is available on youtube](https://www.youtube.com/playlist?list=PLhQjrBD2T382gdfveyad09Ierl_3Jh_wR), it is a little bit long, but it worth learning it.\nThe end goal for me was to combine my 2 passions, CV and programming into another project : this time I opted for CV model training and deployment on mobile device of a flower species recognition app I called, with no suspens,  `WhichFlower`.\n\nBelow is a short animated demo showing the prediction process using the app : \n\n[Here is the link](https://alkasaliss.github.io/whichFlower/) describing my approach from exploratory data analysis to model deployment in the app.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falkasaliss%2Fwhichflower","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falkasaliss%2Fwhichflower","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falkasaliss%2Fwhichflower/lists"}