{"id":23946117,"url":"https://github.com/fosetorico/ph_level_forecasting","last_synced_at":"2026-04-28T16:07:02.437Z","repository":{"id":238895946,"uuid":"797892061","full_name":"fosetorico/pH_level_forecasting","owner":"fosetorico","description":"End-to-End Project for pH Level Forecasting of Well Water Samples in Malawi, Conducted by Leeds Beckett University","archived":false,"fork":false,"pushed_at":"2024-12-14T19:12:57.000Z","size":2790,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-25T15:02:55.938Z","etag":null,"topics":["api","aws","docker","exploratory-data-analysis","feature-extraction","flask","machine-learning","mlops","ols-regression","outlier-detection","pipeline","regression","regression-models"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fosetorico.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2024-05-08T17:29:22.000Z","updated_at":"2024-12-14T19:13:01.000Z","dependencies_parsed_at":null,"dependency_job_id":"011fe983-d6a8-4b06-b2bc-76849549f79b","html_url":"https://github.com/fosetorico/pH_level_forecasting","commit_stats":null,"previous_names":["fosetorico/ph_level_forecasting"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/fosetorico/pH_level_forecasting","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2FpH_level_forecasting","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2FpH_level_forecasting/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2FpH_level_forecasting/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2FpH_level_forecasting/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fosetorico","download_url":"https://codeload.github.com/fosetorico/pH_level_forecasting/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fosetorico%2FpH_level_forecasting/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32387953,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T14:34:11.604Z","status":"ssl_error","status_checked_at":"2026-04-28T14:32:37.009Z","response_time":56,"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":["api","aws","docker","exploratory-data-analysis","feature-extraction","flask","machine-learning","mlops","ols-regression","outlier-detection","pipeline","regression","regression-models"],"created_at":"2025-01-06T08:28:33.073Z","updated_at":"2026-04-28T16:07:02.422Z","avatar_url":"https://github.com/fosetorico.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# pH Level Forecasting of Well Water Samples in Malawi\nThis project focuses on an End-to-End Project for Forecasting pH levels of water samples in Malawi, which was conducted by Leeds Beckett University.\n\n## Workflows\n- Understanding the Problem Statement\n- Exploratory data analysis\n- Data Pre-Processing\n- Model Training\n- Pipelining\n    - Data Ingestion\n    - Data Transformation\n    - Model Trainer\n    - Prediction Pipelining\n\n## Running Instruction\n\nClone the Repository\n\n```bash\nhttps://github.com/fosetorico/pH_level_forecasting.git\n```\n\nCreate a conda environment after opening the repository\n\n```bash\nconda create -n your-chosen-name python=3.10 -y\n```\n\n```bash\nconda activate your-chosen-name\n```\n\n## Install the requirements\n\n```bash\npip install -r requirements.txt\n```\n\n## Finally run the app\n```bash\npython app.py\n```\n\n### Now,\n```bash\nopen up you local host and port\n```\n\n## AWS-CICD-Deployment-with-Github-Actions\n\n\tWith specific access:\n\n\t1. EC2 access : It is virtual machine\n\t2. ECR: Elastic Container registry to save your docker image in aws\n\n\tDescription: About the deployment\n\n\t1. Build docker image of the source code\n\t2. Push your docker image to ECR\n\t3. Launch Your EC2 \n\t4. Pull Your image from ECR in EC2\n\t5. Lauch your docker image in EC2\n\n\tPolicy:\n\n\t1. AmazonEC2ContainerRegistryFullAccess\n\t2. AmazonEC2FullAccess\n\n### 1. Login to AWS console.\n\n### 2. Create IAM user for deployment\n\n### 3. Create ECR repo to store/save docker image\n\n### 4. Create EC2 machine (Ubuntu) \n\n### 5. Open EC2 and Install docker in EC2 Machine:\n\n### 6. Configure EC2 as self-hosted runner:\n    setting\u003eactions\u003erunner\u003enew self hosted runner\u003e choose os\u003e then run command one by one\n\n\t\u003e\u003e\u003eOptinal\u003c\u003c\u003c\n\n\tsudo apt-get update -y\n\n\tsudo apt-get upgrade\n\t\n\t\u003e\u003e\u003eRequired\u003c\u003c\u003c\n\n\tcurl -fsSL https://get.docker.com -o get-docker.sh\n\n\tsudo sh get-docker.sh\n\n\tsudo usermod -aG docker ubuntu\n\n\tnewgrp docker\n\n# 7. Setup github secrets:\n\n    AWS_ACCESS_KEY_ID\n\n    AWS_SECRET_ACCESS_KEY\n\n    AWS_REGION\n\n    AWS_ECR_LOGIN_URI\n\n    ECR_REPOSITORY_NAME","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffosetorico%2Fph_level_forecasting","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffosetorico%2Fph_level_forecasting","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffosetorico%2Fph_level_forecasting/lists"}