Sppu Pyq Index

SPPU PYQ Collection Index

Overview

This index provides Previous Year Question Papers for SPPU Computer Engineering (2019–2025) via these methods, in priority order:

1. LLM Web Search → Structured Markdown (PRIMARY) — AI agent searches the web, extracts

questions, writes .md files to pyq-index/{subject}/. Works for ANY university.

1. User-provided material (FALLBACK) — If LLM cannot find PYQs on the web, ask user for:

attachments (PDFs/docs), a directory path, or an internet link.

1. Automated Fetch Script (SPPU-only) — node scripts/fetch-qp.js downloads PDFs to

pyq-downloads/ from sppuquestionpapers.com.

Coverage: 2019–2025 (SPPU) | Patterns: 2019 & 2024

PYQ Sources (in priority order):

| Priority | Type | Location | Contents | | -------- | -------------------------- | ---------------------------- | ----------------------------------------- | | 1 | LLM-collected markdown | pyq-index/{subject}/*.md | Structured questions (web-scraped by LLM) | | 2 | User-provided material | Any path/URL/user attachment | PDFs, docs, links user shares | | 3 | University PYQ dir | universities//PYQs/ | Per-university organized PDFs | | 4 | Project downloads | pyq-downloads/ | Fetched via automated scripts (SPPU) |

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LLM-Collection: How It Works

When PYQs are needed for a subject, the AI agent:

1. Searches the web for question papers using queries like:

• "{subject}" "SPPU" "question paper" {year}
• site:sppuquestionpapers.com {subject}
• "{subject}" "Pune University" "previous year"
• "{subject}" "previous year question paper" filetype:pdf

1. Finds and reads PDFs found on the web — uses its browser/pdf-reading capability to extract

question text directly (no local OCR needed)

1. Extracts questions — parses question text, marks, exam type from the PDFs

1. Writes structured markdown to pyq-index/{subject-slug}/:

pyq-index/
├── INDEX.md                            # Master index (this file)
├── database-management-systems/
│   ├── README.md                       # Subject metadata, pattern info
│   ├── end-sem-april-2024.md           # One paper per file
│   ├── end-sem-november-2023.md
│   └── in-sem-october-2024.md
├── theory-of-computation/
│   └── ...
└── machine-learning/
    └── ...

Markdown format for each paper:

# {Subject} — {Exam Type} ({Month} {Year})

**Pattern:** {Pattern} | **Total Marks:** {Marks} | **Time:** {Hours} hrs

## Q.1

a) {Question text} [{Marks}] b) {Question text} [{Marks}] **OR**

## Q.2

a) {Question text} [{Marks}] b) {Question text} [{Marks}]

## Q.3

...

Advantages:

• No dependency on a specific website staying up
• Works for ANY university, not just SPPU
• Results are clean structured text — no OCR pipeline needed
• LLM can aggregate from multiple web sources
• Once written, files work offline

SPPU Internet Sources

These are the known working sources for SPPU question papers. Search them in order.

> ⚠️ Links change every exam season. SPPU creates new folders per exam period on all sites. If a > URL 404s, try the next source or search for the current exam period's folder. Always update > these instructions when you discover new URLs or find broken ones.

| # | Source | URL | Best For | | --- | --------------------------- | -------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------- | | 1 | SPPU Official Portal ⭐ | http://collegecirculars.unipune.ac.in/sites/examdocs/{PERIOD}/ | Only official source. Merged all-branch PDFs, End Sem only, 2019 & 2024 pattern | | 2 | SPPU Question Papers | https://sppuquestionpapers.com/be/{branch}/semester-{N} | Per-semester papers | | 3 | SPPU QP Mirror | https://sppuquestionpaper.page.gd/program/be/ | Direct PDF links | | 4 | SPPU Study Hub | https://www.sppustudyhub.in/ | Notes + question papers | | 5 | Last Moment Tuitions | https://lastmomenttuitions.com/sppu/question-papers/ | Per-branch papers | | 6 | GitHub (Sppuqp) | https://github.com/pinakdhabu/Sppuqp | Merged PDFs (FE through BE), Google Drive mirror | | 7 | KSKA Git (Gitea) | https://git.kska.io/sppu-te-comp-content/ | Per-subject repos + solved papers | | 8 | Filo | https://askfilo.com/higher-education/savitribai-phule-pune-university/ | PYQ with answer solutions | | 9 | Collegedunia | https://collegedunia.com/university/25732-savitribai-phule-pune-university-sppu-pune | Old papers index |

Official SPPU Portal — Dynamic URL Discovery

Don't hardcode folder names. They change every exam season. Instead, discover dynamically:

http://collegecirculars.unipune.ac.in/sites/examdocs/

Step 1 — Fetch the base URL. The SharePoint sidebar lists all available libraries. Look for:

• Archive Question Papers section — QP folders for every exam period (2015 through present)
• Time Tables {SEASON} {YEAR} — timetable folders (one per exam season)

Step 2 — Navigate to a folder URL using pattern:

{base_url}/{FOLDER_NAME}/Forms/AllItems.aspx

URL-encode spaces. Try multiple encodings. Folder naming is inconsistent year-to-year.

Step 3 — Download merged PDFs per year level:

{PERIOD_URL}/{YEAR_LEVEL} ({PATTERN} PATTERN).pdf

Try all combos of F.E/S.E/T.E/B.E × 2019 PATTERN/2024 PATTERN.

Step 4 — Timetables at:

{base_url}/Time%20Tables%20{SEASON}%20{YEAR}/Forms/AllItems.aspx

Browse sidebar to find latest season name.

Limitations of official portal:

• Only End Semester papers (no In Sem papers)
• PDFs are large merged files (all branches in one PDF — open and Ctrl+F for your subject)
• SharePoint UI is not easy to scrape; prefer direct PDF link patterns
• Folder naming is inconsistent year-to-year

LLM process:

1. Pick source from table, search with subject name + exam type
2. Open paper links, read PDFs directly via browser capability
3. Extract question text, marks, exam type from each paper
4. Try next source if a specific paper isn't found
5. Write all collected papers as structured markdown

SPPU Hyperawareness — All Official Portals

LLM must be aware of ALL SPPU portals, not just PYQs. Links change every season — discover dynamically by browsing base sites.

Base domains: | Domain | What's There | |--------|-------------| | collegecirculars.unipune.ac.in | Timetables, exam docs, syllabi (2016-2026), academic calendar, circulars | | onlineresults.unipune.ac.in | Result checking portals | | unipune.ac.in | Main site, revaluation, circular search | | exam.unipune.ac.in/Pages/PreviousQuestionPapers.html | Alternative official QP source | | sppuresult.vercel.app | Community result viewer (live from SPPU) |

Syllabus: Browse .../sites/documents/ → Syllabus {YEAR} folders (2016–2026).

When user asks about SPPU, route to the right portal: | User wants | Where to look | |------------|--------------| | PYQs | Official portal dynamic discovery (above) | | Results | sppuresult.vercel.app or onlineresults.unipune.ac.in | | Syllabus | collegecirculars.unipune.ac.in/sites/documents/ | | Timetable | Time%20Tables%20{SEASON}%20{YEAR}/ on examdocs | | Revaluation | unipune.ac.in/university_files/Reval_Online_Results_online.htm | | Academic calendar | .../sites/documents/Academic%20Calender/ | | Circulars | collegecirculars.unipune.ac.in/SitePages/Home.aspx | | Alt QP source | exam.unipune.ac.in/Pages/PreviousQuestionPapers.html |

For other universities: Same approach — LLM dynamically discovers portals by searching "{university}" {resource}. If not found → ask user for links/files.

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PYQ Coverage Per Subject

SE (Second Year) — Sem III

| Subject | End Sem Papers | In Sem Papers | | -------------------------------------- | -------------------------------------------- | -------------- | | Computer Graphics | April 22, 23, 24, 25; Nov 22, 23, 24 | Oct 22, 23, 24 | | Digital Electronics & Logic Design | April 22, 23, 24, 25; Nov 22, 23, 24; Oct 23 | Oct 22, 23, 24 | | Discrete Mathematics | April 22, 23, 24, 25; Nov 22, 23, 24 | Oct 22, 23, 24 | | Fundamentals of Data Structures | April 22, 23, 24, 25; Nov 22, 23, 24 | Oct 23, 24 | | Object Oriented Programming | April 22, 23, 24, 25; Nov 22, 23, 24 | Oct 22, 23, 24 |

SE (Second Year) — Sem IV

| Subject | End Sem Papers | In Sem Papers | | --------------------------------- | ------------------------------------ | -------------- | | Data Structures & Algorithms | April 22, 23, 24, 25; Nov 22, 23, 24 | Mar 23, 24, 25 | | Engineering Mathematics III | April 22, 23, 24, 25; Nov 22, 23, 24 | Mar 23, 24, 25 | | Microprocessor | April 22, 23, 24, 25; Nov 22, 23, 24 | Mar 23, 24, 25 | | Principles of Prog. Languages | April 22, 23, 24, 25; Nov 22, 23, 24 | Mar 23, 24, 25 | | Software Engineering | April 22, 23, 24, 25; Nov 22, 23, 24 | Mar 23, 24, 25 |

TE (Third Year) — Sem V

| Subject | End Sem Papers | In Sem Papers | | ----------------------------------- | ------------------------------------ | -------------------------- | | Computer Networks & Security | April 22, 23, 24, 25; Nov 22, 23, 24 | Oct 22; Sep 24, 25; Aug 25 | | Database Management Systems | April 22, 23, 24, 25; Nov 22, 23, 24 | Oct 22; Sep 23, 24; Aug 25 | | System Prog. & Operating System | April 22, 23, 24, 25; Nov 22, 23, 24 | Oct 22; Sep 23, 24; Aug 25 | | Theory of Computation | April 22, 23, 24, 25; Nov 22, 23, 24 | Oct 22; Sep 23, 24; Aug 25 |

TE (Third Year) — Sem VI

| Subject | End Sem Papers | In Sem Papers | | ------------------------------------- | ------------------------------------ | -------------- | | Artificial Intelligence | April 22, 23, 24, 25; Nov 22, 23, 24 | Mar 23, 24, 25 | | Data Science & Big Data Analytics | April 22, 23, 24, 25; Nov 22, 23, 24 | Mar 23, 24, 25 | | Web Technology | April 22, 23, 24, 25; Nov 22, 23, 24 | Mar 23, 24, 25 |

BE (Fourth Year) — Sem VII

| Subject | End Sem Papers | In Sem Papers | | ----------------------------------- | -------------------------------- | -------------------------- | | Blockchain Technology | April 23, 24, 25; Nov 22, 23, 24 | Oct 22; Sep 23, 24; Aug 25 | | Design & Analysis of Algorithms | April 23, 24, 25; Nov 22, 23, 24 | Oct 22; Sep 23, 24; Aug 25 | | Machine Learning | April 23, 24, 25; Nov 22, 23, 24 | Oct 22; Sep 23, 24; Aug 25 |

BE (Fourth Year) — Sem VIII

| Subject | End Sem Papers | In Sem Papers | | ------------------------------ | ---------------------------- | -------------- | | Deep Learning | April 23, 24, 25; Nov 23, 24 | Mar 23, 24, 25 | | High Performance Computing | April 23, 24, 25; Nov 23, 24 | Mar 23, 24, 25 |

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How to Use This Index

Step 1: Check LLM-collected Markdown (Fastest)

# List PYQ markdown files for a subject
ls pyq-index/database-management-systems/ 2>/dev/null

# Read a specific paper directly
cat pyq-index/database-management-systems/end-sem-april-2024.md

Step 2: Collect via LLM Web Search

If no markdown files exist yet, the AI agent searches the web, finds PDFs, reads them, and writes structured markdown to pyq-index/{subject}/. This populates the index for future use.

For SPPU: Use the dynamic discovery process above. All exam periods from 2015 through current are available on the official portal.

For other universities: LLM scrapes the web using generic queries ("{subject}" "{university}" question paper). If the LLM cannot find PYQs after reasonable searching, it should ask the user for:

• Attached PYQ PDF files or documents
• A local directory path where PYQs are stored
• An internet link to a PYQ repository or download page Whatever the user provides, the LLM converts

it to structured markdown.

Step 3: User-Provided Material

If web search fails to yield enough papers, ask the user for:

• PDF/DOCX attachments — read them directly, extract questions
• A directory path — scan for PDFs, extract text from each
• An internet URL — fetch the page, find and download papers LLM reads and converts whatever is

provided into structured markdown.

Step 4: Fallback to Automated Fetch (SPPU only)

# Download real question papers to pyq-downloads/
node scripts/fetch-qp.js dbms

Step 4: Analyze

Feed extracted text to universal-pyq-analyzer for frequency analysis, Bloom's mapping, trends.

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Tips for AI Agents

1. Prefer markdown over PDFs — LLM-collected markdown is cleaner, faster, works offline once

created

1. Syllabus-first — Find and read the official syllabus PDF first (web search) for unit

structure and COs

1. Recent-weighted — PYQs from 2024-2025 are more predictive than 2019-2020 papers
2. Collect-as-you-go — When you search the web for PYQs, write the results to pyq-index/ for

future use

1. LLM reads PDFs from the web — the AI agent can open PDF URLs directly; no need for local OCR

tools

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: pinakdhabu
• Source: pinakdhabu/Exam-prompt
• License: MIT
• Homepage: https://pinakdhabu.github.io/Exam-prompt/

Install and usage instructions live in the source repository linked above.