{"id":28267127,"url":"https://github.com/gaoux/octsense","last_synced_at":"2026-04-27T11:31:17.684Z","repository":{"id":276225217,"uuid":"928632007","full_name":"Gaoux/OCTsense","owner":"Gaoux","description":null,"archived":false,"fork":false,"pushed_at":"2025-05-31T16:56:18.000Z","size":851,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-19T10:43:03.891Z","etag":null,"topics":["oct","react","vite-react"],"latest_commit_sha":null,"homepage":"https://oct-sense.vercel.app","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Gaoux.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,"zenodo":null}},"created_at":"2025-02-07T00:35:22.000Z","updated_at":"2025-05-31T16:54:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"32a9e243-a85d-43c9-9b07-be5daabe657b","html_url":"https://github.com/Gaoux/OCTsense","commit_stats":null,"previous_names":["gaoux/octsense"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/Gaoux/OCTsense","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaoux%2FOCTsense","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaoux%2FOCTsense/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaoux%2FOCTsense/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaoux%2FOCTsense/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gaoux","download_url":"https://codeload.github.com/Gaoux/OCTsense/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaoux%2FOCTsense/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32335295,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T23:26:28.701Z","status":"online","status_checked_at":"2026-04-27T02:00:06.769Z","response_time":128,"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":["oct","react","vite-react"],"created_at":"2025-05-20T15:10:10.587Z","updated_at":"2026-04-27T11:31:17.679Z","avatar_url":"https://github.com/Gaoux.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# OCTsense\n\nOCTsense is a **web platform (SPA)** for the **automated analysis of OCT (Optical Coherence Tomography) images** using **artificial intelligence**.  \nIt is designed for **ophthalmologists** who need support diagnosing ocular diseases such as **Choroidal Neovascularization (CNV)**, **Age-Related Macular Degeneration (AMD)**, macular edema, and others — without relying on image interpretation experts.\n\nOCTsense also serves **patients and ophthalmologists** by automatically detecting:\n\n- Choroidal Neovascularization (CNV)\n- Diabetic Macular Edema (DME)\n- Drusen lesions (DRUSEN)\n- Healthy retinal tissue\n\n—all without depending on expert image analysis.\n\n---\n\n## 🔗 Related Repositories\n\n- **Backend (Django + REST API)**  \n  [https://github.com/gaoux/OCT-diagnosis-backend](https://github.com/Gaoux/OCT-diagnosis-backend)\n\n- **AI Model (Hugging Face – OCT Classification)**  \n  [https://huggingface.co/gaoux/OCT_class](https://huggingface.co/gaoux/OCT_class)\n\n---\n\n## 🚀 Technologies Used\n\n| Area     | Technology                              |\n| :------- | :-------------------------------------- |\n| Frontend | React.js (SPA) with Vite                |\n| Backend  | Django + Django REST Framework (Python) |\n| AI Model | TensorFlow 2.x, Keras, OpenCV           |\n| Database | PostgreSQL                              |\n\n---\n\n## 🧹 Main Functional Modules\n\n- **User and authentication management:**  \n  Registration for ophthalmologists and admins, credential validation, password recovery, role control.\n\n- **Landing Page:**  \n  Interactive welcome screen with guides and access to main features.\n\n- **AI-driven image analysis:**  \n  Pretrained TensorFlow models process images to generate preliminary diagnostic predictions.\n\n- **Results and reports:**  \n  View analysis results, generate medical reports in PDF, download/store reports, and compare historical images.\n\n---\n\n# ⚙️ Setup Guide\n\nFollow these steps to install and run the project locally:\n\n## 1. Clone the repository\n\n```bash\ngit clone https://your-repository-url.git\ncd your-repository-folder\n```\n\n---\n\n## 2. Backend (Django + PostgreSQL)\n\nThe backend code for OCTsense is located in a separate repository. You can find it here:\n\n**Backend Repository:** [OCTsense Backend](https://your-backend-repository-link)\n\nFollow the instructions in that repository to set up and run the backend server locally.\n\n---\n\n## 3. Frontend (React + Vite)\n\n### a. Environment Variables\n\nCreate a `.env` file in the frontend folder:\n\n```env\nVITE_API_BASE_URL=http://127.0.0.1:8000/\n```\n\n---\n\n### b. Run Frontend with Docker\n\n```bash\ndocker-compose up --build\n```\n\nFrontend will be available at:\n\n```\nhttp://localhost:3000\n```\n\n---\n\n# 📈 Quick Commands Summary\n\n| Task                   | Command                                          |\n| :--------------------- | :----------------------------------------------- |\n| Build and run backend  | Refer to backend repository instructions         |\n| Build and run frontend | `docker-compose up --build` (in frontend folder) |\n| Access backend API     | http://127.0.0.1:8000/api/                       |\n| Access frontend app    | http://localhost:3000                            |\n\n---\n\n# ✨ Extra Notes\n\n- AI models are managed separately inside the backend (`oct/predict/` endpoint).\n- Make sure ports **8000 (backend)** and **3000 (frontend)** are open.\n- For production, it's recommended to serve the frontend using **Nginx** (already set up).\n\n---\n\n# 💬 License\n\nThis project is licensed under the GPL-3.0 license.\n\n---\n\n# 📬 Contact\n\nFor questions, contributions, or collaboration inquiries:  \n**Gustavo Parra | parrat-ga@javeriana.edu.co**\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgaoux%2Foctsense","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgaoux%2Foctsense","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgaoux%2Foctsense/lists"}