MediaWiki API result
This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.
Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.
See the complete documentation, or the API help for more information.
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"timestamp": "2025-07-15T11:08:21Z",
"comment": "Created page with \"ami ashole ki bolbo jani na. ei group e sbar sathe tal miliye enjoy korte parchi na. ami amar mner theke bolchi. ami jeta moner theke pari na seta ami korte pari na. ami mentally vishon vabe disturbed.\""
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"timestamp": "2025-07-12T23:32:32Z",
"comment": "Created page with \"== MIT SMILES == MIT's SMILES (Simplified Molecular Input Line Entry System) is a string-based representation of chemical structures. === Project Ideas === ==== 1. Cheminformatics & Drug Discovery ==== * '''Molecular Property Predictor''' \u2013 Train a machine learning model to predict properties (e.g., solubility, toxicity) from SMILES strings. * '''Drug Similarity Search''' \u2013 Build a tool that finds structurally similar molecules from a database using SMILES-based fi...\""
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"timestamp": "2025-07-12T23:30:57Z",
"comment": "Created page with \"= Building a Drone Management System Using NASA Astrobee = == 1. Understand NASA Astrobee == '''Astrobee''' is a free-flying robot designed for the ISS, with open-source software for: * '''Autonomous navigation''' (SLAM, obstacle avoidance) * '''Robot control''' (GNC: Guidance, Navigation, and Control) * '''Mission planning''' (behavior trees, ROS-based) * '''Simulation''' (Gazebo integration) '''GitHub Repo''': [https://github.com/nasa/astrobee NASA Astrobee on GitHub...\""
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"comment": "Created page with \"Here's the MediaWiki syntax for your content: ```mediawiki == LeoLab Open-Source Tools == LeoLab offers a variety of open-source tools and libraries, primarily focused on data engineering, workflow orchestration, and machine learning operations (MLOps). Here are some things you can build using LeoLab's open-source projects (like Leopard, Orchest, and others): === 1. Data Pipelines & ETL Workflows === * Use Leopard (a lightweight alternative to Airflow) to build batch...\""
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"timestamp": "2025-06-06T04:48:00Z",
"comment": "Created page with \" = YOLOv8 with TensorFlow Lite for Android Image Detection = This guide explains how to implement YOLOv8 object detection in an Android application using TensorFlow Lite. == Prerequisites == * Android Studio (latest version) * Basic Android development knowledge * YOLOv8 model (`.pt` format) * Python environment for model conversion == Model Conversion == First convert the YOLOv8 PyTorch model to TensorFlow Lite format: <syntaxhighlight lang=\"python\"> from ultralyti...\""
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"timestamp": "2025-04-11T17:54:52Z",
"comment": "Created page with \"=VM AUTH= - \u2705 A **Python Flask server** (runs on your central server) to handle login/authentication and token validation. - \ud83d\udda5\ufe0f A **bash script** that runs on **each student's VM during boot**, checks their token, and halts if invalid. --- ==OVERVIEW== Each VM has: - A file `/etc/stemx365.conf` containing a unique `STUDENT_ID` and `VM_TOKEN` - On boot, a script will: 1. Read this config 2. Ping your Flask server to validate the ID+token 3. Only continue i...\""
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