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Merged
komalharshita merged 3 commits into from
Jun 8, 2026
Merged

K clustering added #572

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a805dd1
K clustering added
parinaB May 25, 2026
d7489a9
Merge branch 'main' into feat/project-clustering
parinaB May 25, 2026
cb78c37
Merge branch 'main' into feat/project-clustering
parinaB Jun 8, 2026
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51 changes: 51 additions & 0 deletions data/clusters.json
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Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,51 @@
{
"k": 3,
"clusters": {
"1": 0,
"2": 1,
"3": 0,
"4": 2,
"5": 1,
"6": 2,
"7": 2,
"8": 0,
"9": 1,
"10": 2,
"11": 0,
"12": 0,
"13": 1,
"14": 0,
"15": 1,
"16": 2,
"17": 2,
"18": 1,
"19": 2
},
"members": {
"0": [
1,
3,
8,
11,
12,
14
],
"1": [
2,
5,
9,
13,
15,
18
],
"2": [
4,
6,
7,
10,
16,
17,
19
]
}
}
214 changes: 181 additions & 33 deletions data/projects.json
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Original file line number Diff line number Diff line change
Expand Up @@ -416,35 +416,26 @@
"starter_code": "starter_code/survey_form/index.html"
},
{
"id": 12,
"id": 10,
"title": "API ETL Pipeline",
"skills": [
"Python",
"pandas",
"requests"
],
"skills": ["Python", "pandas", "requests"],
"level": "Intermediate",
"interest": "Data",
"time": "Medium",
"description": "Enter a public API URL to fetch data and automatically transform it into a structured CSV dataset.",
"features": [
"Fetch data from public APIs",
"handle missing values",
"Handle missing values",
"Normalize nested JSON",
"Generate summary statistics",
"Export the processed CSV for any other Analytics projects"
],
"tech_stack": [
"Python",
"pandas",
"requests",
"JSON"
"Export the processed CSV for any other analytics projects"
],
"tech_stack": ["Python", "pandas", "requests", "JSON"],
"roadmap": [
"Step 1: Install required modules via pip",
"Step 2: Find a public API key for this project",
"Step 3: Fetch the data from the API using requests",
"Step 4: Validate the response you just fetched From the API",
"Step 4: Validate the response you just fetched from the API",
"Step 5: Normalize the nested JSON data by flattening it",
"Step 6: Use the fetched data to build a pandas dataframe",
"Step 7: Handle missing values or duplicate values",
Expand Down Expand Up @@ -512,7 +503,7 @@
"starter_code": "starter_code/ai_resume_analyzer.py"
},
{
"id": 14,
"id": 11,
"title": "Number Guessing Game",
"skills": [
"Python"
Expand Down Expand Up @@ -548,7 +539,7 @@
"starter_code": "starter_code/number_guessing.py"
},
{
"id": 15,
"id": 12,
"title": "Simple Email Automation",
"skills": [
"Python"
Expand Down Expand Up @@ -585,7 +576,7 @@
"starter_code": "starter_code/email_automation.py"
},
{
"id": 16,
"id": 13,
"title": "Quiz App",
"skills": [
"HTML",
Expand Down Expand Up @@ -625,34 +616,191 @@
"starter_code": "starter_code/quiz_app.html"
},
{
"id": 17,
"id": 14,
"title": "File Organiser Script",
"skills": ["Python"],
"level": "Beginner",
"interest": "Automation",
"time": "Low",
"description": "A command-line script that sorts files in a folder into subfolders by file extension (Images, Documents, Videos, etc.). Great for learning the os and shutil modules and writing your first automation tool.",
"description": "A Python script that scans a folder and automatically sorts files into subfolders by type — images, documents, videos, code files. Great for learning os and shutil modules.",
"features": [
"Scan a target folder for files",
"Group files by extension into category subfolders",
"Skip already-sorted files and folders",
"Print a summary of files moved per category"
"Detect file type by extension",
"Create subfolders automatically",
"Move files into the correct folder",
"Print a summary of what was moved"
],
"tech_stack": ["Python", "os module", "shutil module", "pathlib"],
"tech_stack": ["Python", "os module", "shutil module"],
"roadmap": [
"Step 1: Set up the Python file and import os, shutil, pathlib",
"Step 2: Define a mapping of extensions to category folders",
"Step 3: List all files in the target directory",
"Step 4: Determine each file's category from its extension",
"Step 5: Create category subfolders if they do not exist",
"Step 6: Move each file into its category folder using shutil.move",
"Step 7: Print a summary count of files moved per category"
"Step 1: Import os and shutil",
"Step 2: Define a dictionary mapping extensions to folder names",
"Step 3: Loop through files in the target directory",
"Step 4: Check each file's extension",
"Step 5: Create the destination folder if it doesn't exist",
"Step 6: Move the file using shutil.move()",
"Step 7: Print a summary of moved files"
],
"resources": [
"Python os module: https://docs.python.org/3/library/os.html",
"Python shutil module: https://docs.python.org/3/library/shutil.html",
"Python pathlib guide: https://docs.python.org/3/library/pathlib.html"
"Real Python file handling: https://realpython.com/working-with-files-in-python"
],
"starter_code": "starter_code/file_organiser.py"
},
{
"id": 15,
"title": "Flashcard Study App",
"skills": ["HTML", "CSS", "JavaScript"],
"level": "Beginner",
"interest": "Education",
"time": "Low",
"description": "A browser-based flashcard app where users can flip cards to reveal answers. Reinforces DOM manipulation, CSS transitions, and basic data storage in JavaScript.",
"features": [
"Flip card animation on click",
"Navigate between cards",
"Track how many cards reviewed",
"Shuffle deck order"
],
"tech_stack": ["HTML", "CSS", "JavaScript"],
"roadmap": [
"Step 1: Create the card HTML structure with front and back faces",
"Step 2: Write CSS for the 3D flip animation",
"Step 3: Store flashcard data as a JavaScript array",
"Step 4: Render the current card from the array",
"Step 5: Add click handler to trigger the flip",
"Step 6: Add next/previous navigation buttons",
"Step 7: Implement the shuffle function"
],
"resources": [
"CSS 3D transforms: https://developer.mozilla.org/en-US/docs/Web/CSS/transform",
"JavaScript arrays: https://javascript.info/array",
"W3Schools CSS: https://www.w3schools.com/css"
],
"starter_code": "starter_code/flashcard_app.html"
},
{
"id": 16,
"title": "Budget Tracker Web App",
"skills": ["HTML", "CSS", "JavaScript"],
"level": "Intermediate",
"interest": "Data",
"time": "Medium",
"description": "A browser-based personal finance tracker that lets users add income and expense entries and visualises the balance over time with a simple chart.",
"features": [
"Add income and expense entries",
"Show running balance",
"Colour-code entries by type",
"Render a bar chart of monthly totals"
],
"tech_stack": ["HTML", "CSS", "JavaScript", "Chart.js"],
"roadmap": [
"Step 1: Build the HTML form for adding entries",
"Step 2: Store entries in a JavaScript array",
"Step 3: Render the entry list dynamically",
"Step 4: Calculate and display the running balance",
"Step 5: Group entries by month for chart data",
"Step 6: Import Chart.js via CDN",
"Step 7: Render a bar chart using the monthly totals",
"Step 8: Add delete functionality for individual entries"
],
"resources": [
"Chart.js docs: https://www.chartjs.org/docs/latest",
"MDN DOM: https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model",
"JavaScript arrays: https://javascript.info/array"
],
"starter_code": "starter_code/budget_tracker.html"
},
{
"id": 17,
"title": "Network Port Scanner",
"skills": ["Python"],
"level": "Intermediate",
"interest": "Cybersecurity",
"time": "Medium",
"description": "A Python tool that scans a target host for open ports within a given range. Teaches socket programming, threading for speed, and basic network concepts.",
"features": [
"Accept host and port range as input",
"Check each port using sockets",
"Display open ports with service names",
"Use threading to speed up scanning"
],
"tech_stack": ["Python", "socket module", "threading module"],
"roadmap": [
"Step 1: Import socket and threading modules",
"Step 2: Write a function to test a single port",
"Step 3: Loop through the port range and test each",
"Step 4: Add threading to run scans concurrently",
"Step 5: Map common ports to service names",
"Step 6: Display results sorted by port number",
"Step 7: Add input validation for host and port range"
],
"resources": [
"Python socket docs: https://docs.python.org/3/library/socket.html",
"Python threading: https://docs.python.org/3/library/threading.html",
"OWASP testing guide: https://owasp.org/www-project-web-security-testing-guide"
],
"starter_code": "starter_code/port_scanner.py"
},
{
"id": 18,
"title": "Typing Speed Test",
"skills": ["HTML", "CSS", "JavaScript"],
"level": "Beginner",
"interest": "Games",
"time": "Medium",
"description": "A browser-based typing test that measures words per minute and accuracy. Great for practising timers, string comparison, and dynamic DOM updates.",
"features": [
"Display a random passage to type",
"Start timer on first keypress",
"Highlight correct and incorrect characters in real time",
"Show WPM and accuracy on completion"
],
"tech_stack": ["HTML", "CSS", "JavaScript"],
"roadmap": [
"Step 1: Store a list of sample passages",
"Step 2: Display a random passage in the UI",
"Step 3: Listen for keypress events in the input field",
"Step 4: Start the timer on the first keypress",
"Step 5: Compare typed characters to the passage character by character",
"Step 6: Highlight correct characters green and errors red",
"Step 7: Stop the timer when the passage is complete",
"Step 8: Calculate and display WPM and accuracy"
],
"resources": [
"JavaScript timers: https://developer.mozilla.org/en-US/docs/Web/API/setInterval",
"JavaScript string methods: https://javascript.info/string",
"MDN keyboard events: https://developer.mozilla.org/en-US/docs/Web/API/KeyboardEvent"
],
"starter_code": "starter_code/typing_test.html"
},
{
"id": 19,
"title": "Course Progress Tracker",
"skills": ["Python"],
"level": "Intermediate",
"interest": "Education",
"time": "Medium",
"description": "A CLI tool to track progress through online courses. Users can add courses, mark lessons complete, and see a visual progress bar per course.",
"features": [
"Add courses with a total lesson count",
"Mark individual lessons as complete",
"Display a text progress bar per course",
"Save and load state from a JSON file"
],
"tech_stack": ["Python", "json module", "os module"],
"roadmap": [
"Step 1: Define the course data structure",
"Step 2: Write add_course() and add_lesson() functions",
"Step 3: Implement mark_complete() logic",
"Step 4: Build a text progress bar renderer",
"Step 5: Write JSON save and load functions",
"Step 6: Create a menu loop for user interaction",
"Step 7: Display all courses with progress on startup"
],
"resources": [
"Python JSON module: https://docs.python.org/3/library/json.html",
"Real Python CLI apps: https://realpython.com/command-line-interfaces-python-argparse",
"Python os module: https://docs.python.org/3/library/os.html"
],
"starter_code": "starter_code/course_tracker.py"
}
]
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