{"id":27373368,"url":"https://github.com/stevehoober254/ai-portfolio","last_synced_at":"2025-11-04T13:04:05.415Z","repository":{"id":287213073,"uuid":"963972179","full_name":"stevehoober254/ai-portfolio","owner":"stevehoober254","description":"🧠 LLM pipelines, model training notebooks, and real-world AI/ML deployments with testing","archived":false,"fork":false,"pushed_at":"2025-04-10T19:52:36.000Z","size":7,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-13T11:14:32.242Z","etag":null,"topics":["ai","deep-learning","huggingface","llm","machine-learning","mlops","model-training","notebooks","pytorch","transformers"],"latest_commit_sha":null,"homepage":"","language":null,"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/stevehoober254.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","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},"funding":{"github":["stevehoober254"]}},"created_at":"2025-04-10T13:48:57.000Z","updated_at":"2025-04-10T19:52:40.000Z","dependencies_parsed_at":"2025-04-13T11:14:32.353Z","dependency_job_id":null,"html_url":"https://github.com/stevehoober254/ai-portfolio","commit_stats":null,"previous_names":["stevehoober254/ai-portfolio"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/stevehoober254/ai-portfolio","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stevehoober254%2Fai-portfolio","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stevehoober254%2Fai-portfolio/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stevehoober254%2Fai-portfolio/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stevehoober254%2Fai-portfolio/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stevehoober254","download_url":"https://codeload.github.com/stevehoober254/ai-portfolio/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stevehoober254%2Fai-portfolio/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":282641444,"owners_count":26702864,"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","status":"online","status_checked_at":"2025-11-04T02:00:05.887Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["ai","deep-learning","huggingface","llm","machine-learning","mlops","model-training","notebooks","pytorch","transformers"],"created_at":"2025-04-13T11:14:31.175Z","updated_at":"2025-11-04T13:04:05.405Z","avatar_url":"https://github.com/stevehoober254.png","language":null,"funding_links":["https://github.com/sponsors/stevehoober254"],"categories":[],"sub_categories":[],"readme":"# 🤖 AI Engineer Portfolio\n\nThis portfolio features advanced AI/ML projects with production-ready pipelines. It covers everything from LLM integration and model fine-tuning to deploying ML services and validating notebooks with CI workflows.\n\n## 🧠 Highlights\n- LLMs with Hugging Face Transformers\n- Model training and evaluation notebooks\n- MLOps-style workflow testing (nbmake, CI)\n- Checkpointing and model lifecycle\n- AI deployments with FastAPI \u0026 Docker\n  \n\n## Project List\n\n## 1. Multilingual Voice Agent for Public Services\n\n### Problem\nCitizens struggle to access government info in native languages via digital channels.\n\n### Solution\nBuild a voice assistant that:\n- Converts speech to text using **Whisper**\n- Translates using **NLLB (No Language Left Behind)**\n- Queries a knowledge base using **RAG with LlamaIndex**\n- Speaks answers via **TTS (Bark or Coqui)**\n- Deployable via **Twilio Voice** or WhatsApp\n\n### Goals\n- Serve local languages like Swahili, Luo, Kikuyu, Somali\n- Provide answers about IDs, licenses, schools, etc.\n- Log anonymized usage metrics\n\n---\n\n## 2. African News Summarizer and Bias Detector\n\n### Problem\nNews often contains bias and lacks multilingual accessibility.\n\n### Solution\nTrain a summarizer + bias detector:\n- **Fine-tune T5 or Falcon** on local news corpora\n- Build React frontend to enter URLs and summarize\n- Use **Hugging Face Transformers + Langchain**\n\n### Goals\n- Summarize articles in 3 languages\n- Classify for bias type: political, regional, tone\n- Suggest counterpoints and sources\n\n---\n\n## 3. Medical Imaging Assistant for Understaffed Clinics\n\n### Problem\nClinics lack radiologists to interpret X-rays and CT scans.\n\n### Solution\nBuild a diagnostic model using:\n- **YOLOv8 + fastai** for object detection\n- Train on open datasets (NIH ChestX-ray14, VinDr)\n- Deploy via **Streamlit** or **Gradio** interface\n\n### Goals\n- Identify common findings (TB, pneumonia, fractures)\n- Allow image uploads from mobile\n- Generate PDF reports\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstevehoober254%2Fai-portfolio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstevehoober254%2Fai-portfolio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstevehoober254%2Fai-portfolio/lists"}