{ "institution": "SHRI RAM RATAN SINGHAL COMPUTER & VOCATIONAL CENTER, JODHPUR", "updatedAt": "2026-10-16T14:16:14.734114+00:00", "date": "17 October 2026", "decks": [ { "id": "00-SRRS-Opening", "number": "00", "title": "SRRS AI Lab — Opening", "subtitle": "Welcome, our guests, the lab, and today's three projects", "school": "SRRS AI Lab", "institution": "SHRI RAM RATAN SINGHAL COMPUTER & VOCATIONAL CENTER, JODHPUR", "accent": "#1E293B", "badgeColor": "#1E293B", "textColor": "#FFFFFF", "slidesCount": 6, "slideTitles": [ "SRRS AI Lab", "Our honoured guests", "Our lab opened in 2022 — the year ChatGPT arrived", "The lab today", "Proven in competition: Cup of Excellence 2026", "Today: three big ideas of AI, three real projects" ], "notes": [ "", "", "", "", "", "" ], "pptxFile": "/decks/00-SRRS-Opening.pptx", "pdfFile": "/pdf/00-SRRS-Opening.pdf", "pptxSize": "57.9 KB", "pdfSize": "354.4 KB", "coverSlide": "/slides/00-SRRS-Opening/slide-01.png", "coverThumb": "/thumbs/00-SRRS-Opening/slide-01.png", "slides": [ { "index": 1, "pad": "01", "image": "/slides/00-SRRS-Opening/slide-01.png", "thumb": "/thumbs/00-SRRS-Opening/slide-01.png", "title": "SRRS AI Lab", "notes": "" }, { "index": 2, "pad": "02", "image": "/slides/00-SRRS-Opening/slide-02.png", "thumb": "/thumbs/00-SRRS-Opening/slide-02.png", "title": "Our honoured guests", "notes": "" }, { "index": 3, "pad": "03", "image": "/slides/00-SRRS-Opening/slide-03.png", "thumb": "/thumbs/00-SRRS-Opening/slide-03.png", "title": "Our lab opened in 2022 — the year ChatGPT arrived", "notes": "" }, { "index": 4, "pad": "04", "image": "/slides/00-SRRS-Opening/slide-04.png", "thumb": "/thumbs/00-SRRS-Opening/slide-04.png", "title": "The lab today", "notes": "" }, { "index": 5, "pad": "05", "image": "/slides/00-SRRS-Opening/slide-05.png", "thumb": "/thumbs/00-SRRS-Opening/slide-05.png", "title": "Proven in competition: Cup of Excellence 2026", "notes": "" }, { "index": 6, "pad": "06", "image": "/slides/00-SRRS-Opening/slide-06.png", "thumb": "/thumbs/00-SRRS-Opening/slide-06.png", "title": "Today: three big ideas of AI, three real projects", "notes": "" } ], "studentNotes": [ { "id": "SRRS-Update-17-Oct-8am", "type": "briefing", "badge": "Student Briefing", "title": "What changed — 8 am update", "subtitle": "Order, timing, slides to keep, the lines that matter, likely questions", "pdfFile": "/student-notes/SRRS-Update-17-Oct-8am.pdf", "pagesDir": "/student-notes-pages/SRRS-Update-17-Oct-8am", "thumb": "/student-notes-thumbs/SRRS-Update-17-Oct-8am.png", "pagesCount": 2, "size": "112.5 KB", "readerUrl": "/notes/SRRS-Update-17-Oct-8am", "deckId": "00-SRRS-Opening", "school": "SRRS AI Lab" }, { "id": "SRRS-Student-Briefing-17-Oct", "type": "briefing", "badge": "Student Briefing", "title": "Student briefing — 17 October 2026", "subtitle": "Order, timing, slides to keep, the lines that matter, likely questions", "pdfFile": "/student-notes/SRRS-Student-Briefing-17-Oct.pdf", "pagesDir": "/student-notes-pages/SRRS-Student-Briefing-17-Oct", "thumb": "/student-notes-thumbs/SRRS-Student-Briefing-17-Oct.png", "pagesCount": 3, "size": "153.7 KB", "readerUrl": "/notes/SRRS-Student-Briefing-17-Oct", "deckId": "00-SRRS-Opening", "school": "SRRS AI Lab" }, { "id": "SRRS-Programme-Agenda-17-Oct-2026", "type": "agenda", "badge": "Agenda", "title": "Programme agenda — Saturday, 17 October 2026", "subtitle": "Order of events and the three student presentations", "pdfFile": "/student-notes/SRRS-Programme-Agenda-17-Oct-2026.pdf", "pagesDir": "/student-notes-pages/SRRS-Programme-Agenda-17-Oct-2026", "thumb": "/student-notes-thumbs/SRRS-Programme-Agenda-17-Oct-2026.png", "pagesCount": 2, "size": "143.9 KB", "readerUrl": "/notes/SRRS-Programme-Agenda-17-Oct-2026", "deckId": "00-SRRS-Opening", "school": "SRRS AI Lab" }, { "id": "00-SRRS-Opening-Presenter-Script", "type": "script", "badge": "Presenter Script", "title": "SRRS AI Lab · Presenter script — SRRS AI Lab — Opening", "subtitle": "Every slide's DO · SAY · DEEPER · IF ASKED notes, for rehearsal", "pdfFile": "/student-notes/00-SRRS-Opening-Presenter-Script.pdf", "pagesDir": "/student-notes-pages/00-SRRS-Opening-Presenter-Script", "thumb": "/student-notes-thumbs/00-SRRS-Opening-Presenter-Script.png", "pagesCount": 1, "size": "68.9 KB", "readerUrl": "/notes/00-SRRS-Opening-Presenter-Script", "deckId": "00-SRRS-Opening", "school": "SRRS AI Lab" } ] }, { "id": "01a-HSS-Concept-NCERT-World", "number": "01a", "title": "HSS — NCERT World: how it works", "subtitle": "Tech brief: embeddings, meaning search, the honest test", "school": "HSS", "institution": "SHRI RAM RATAN SINGHAL COMPUTER & VOCATIONAL CENTER, JODHPUR", "accent": "#0F766E", "badgeColor": "#0F766E", "textColor": "#FFFFFF", "slidesCount": 16, "slideTitles": [ "How does a computer understand meaning?", "A computer cannot read.", "An embedding: a sentence becomes 768 numbers", "Same meaning lands close — in any language", "How close is close? A score from 0 to 1", "Search by meaning, not by matching words", "Our model: Google's EmbeddingGemma 2", "It can read pictures too — no typing needed", "NCERT World", "The problem: new books, old memories", "How we built it: five steps", "What is inside today", "An honest test: NCERT's own questions", "What it cannot do yet — we say it openly", "A chatbot remembers. NCERT World reads the book", "Meaning became numbers." ], "notes": [ "Good morning.", "To a computer, the word 'photosynthesis' is just a row of letters.", "An embedding model reads a whole sentence and gives back 768 numbers.", "Imagine a giant map where every sentence is a dot.", "To compare two addresses, we check if their arrows point the same way.", "Old search matches letters.", "We used Google's newest open embedding model, EmbeddingGemma 2.", "The same model can look at a whole book page as a picture and give it a meaning address too.", "Now, what we built with this idea: NCERT World.", "NCERT books are changing.", "Here is the whole journey from the official PDF to an answer on screen.", "Today NCERT World holds the Class 10 and Class 12 books, both Hindi and English.", "When we tested with questions we wrote ourselves, it looked almost perfect.", "Every real product has limits.", "A chatbot and NCERT World do different jobs.", "To sum up: we turned meaning into numbers, and the numbers lead every student to the right page of this year's book." ], "pptxFile": "/decks/01a-HSS-Concept-NCERT-World.pptx", "pdfFile": "/pdf/01a-HSS-Concept-NCERT-World.pdf", "pptxSize": "730.2 KB", "pdfSize": "1.6 MB", "coverSlide": "/slides/01a-HSS-Concept-NCERT-World/slide-01.png", "coverThumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-01.png", "slides": [ { "index": 1, "pad": "01", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-01.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-01.png", "title": "How does a computer understand meaning?", "notes": "Good morning." }, { "index": 2, "pad": "02", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-02.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-02.png", "title": "A computer cannot read.", "notes": "To a computer, the word 'photosynthesis' is just a row of letters." }, { "index": 3, "pad": "03", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-03.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-03.png", "title": "An embedding: a sentence becomes 768 numbers", "notes": "An embedding model reads a whole sentence and gives back 768 numbers." }, { "index": 4, "pad": "04", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-04.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-04.png", "title": "Same meaning lands close — in any language", "notes": "Imagine a giant map where every sentence is a dot." }, { "index": 5, "pad": "05", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-05.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-05.png", "title": "How close is close? A score from 0 to 1", "notes": "To compare two addresses, we check if their arrows point the same way." }, { "index": 6, "pad": "06", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-06.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-06.png", "title": "Search by meaning, not by matching words", "notes": "Old search matches letters." }, { "index": 7, "pad": "07", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-07.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-07.png", "title": "Our model: Google's EmbeddingGemma 2", "notes": "We used Google's newest open embedding model, EmbeddingGemma 2." }, { "index": 8, "pad": "08", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-08.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-08.png", "title": "It can read pictures too — no typing needed", "notes": "The same model can look at a whole book page as a picture and give it a meaning address too." }, { "index": 9, "pad": "09", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-09.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-09.png", "title": "NCERT World", "notes": "Now, what we built with this idea: NCERT World." }, { "index": 10, "pad": "10", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-10.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-10.png", "title": "The problem: new books, old memories", "notes": "NCERT books are changing." }, { "index": 11, "pad": "11", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-11.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-11.png", "title": "How we built it: five steps", "notes": "Here is the whole journey from the official PDF to an answer on screen." }, { "index": 12, "pad": "12", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-12.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-12.png", "title": "What is inside today", "notes": "Today NCERT World holds the Class 10 and Class 12 books, both Hindi and English." }, { "index": 13, "pad": "13", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-13.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-13.png", "title": "An honest test: NCERT's own questions", "notes": "When we tested with questions we wrote ourselves, it looked almost perfect." }, { "index": 14, "pad": "14", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-14.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-14.png", "title": "What it cannot do yet — we say it openly", "notes": "Every real product has limits." }, { "index": 15, "pad": "15", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-15.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-15.png", "title": "A chatbot remembers. NCERT World reads the book", "notes": "A chatbot and NCERT World do different jobs." }, { "index": 16, "pad": "16", "image": "/slides/01a-HSS-Concept-NCERT-World/slide-16.png", "thumb": "/thumbs/01a-HSS-Concept-NCERT-World/slide-16.png", "title": "Meaning became numbers.", "notes": "To sum up: we turned meaning into numbers, and the numbers lead every student to the right page of this year's book." } ], "studentNotes": [ { "id": "HSS-1-Concept-Notes", "type": "concept-notes", "badge": "Concept Notes", "title": "HSS · Student concept notes", "subtitle": "The ideas behind the project, in simple words", "pdfFile": "/student-notes/HSS-1-Concept-Notes.pdf", "pagesDir": "/student-notes-pages/HSS-1-Concept-Notes", "thumb": "/student-notes-thumbs/HSS-1-Concept-Notes.png", "pagesCount": 5, "size": "298.0 KB", "readerUrl": "/notes/HSS-1-Concept-Notes", "deckId": "01a-HSS-Concept-NCERT-World", "school": "HSS" }, { "id": "HSS-2-Glossary", "type": "glossary", "badge": "Glossary", "title": "HSS · Glossary — every word, made simple", "subtitle": "The technical words in our slides, explained simply", "pdfFile": "/student-notes/HSS-2-Glossary.pdf", "pagesDir": "/student-notes-pages/HSS-2-Glossary", "thumb": "/student-notes-thumbs/HSS-2-Glossary.png", "pagesCount": 4, "size": "262.1 KB", "readerUrl": "/notes/HSS-2-Glossary", "deckId": "01a-HSS-Concept-NCERT-World", "school": "HSS" }, { "id": "01a-HSS-Concept-NCERT-World-Presenter-Script", "type": "script", "badge": "Presenter Script", "title": "HSS · Presenter script — how it works", "subtitle": "Every slide's DO · SAY · DEEPER · IF ASKED notes, for rehearsal", "pdfFile": "/student-notes/01a-HSS-Concept-NCERT-World-Presenter-Script.pdf", "pagesDir": "/student-notes-pages/01a-HSS-Concept-NCERT-World-Presenter-Script", "thumb": "/student-notes-thumbs/01a-HSS-Concept-NCERT-World-Presenter-Script.png", "pagesCount": 5, "size": "108.9 KB", "readerUrl": "/notes/01a-HSS-Concept-NCERT-World-Presenter-Script", "deckId": "01a-HSS-Concept-NCERT-World", "school": "HSS" } ] }, { "id": "01b-HSS-Demo-NCERT-World", "number": "01b", "title": "HSS — NCERT World: live demo", "subtitle": "Product demonstration: ask your NCERT book, see the page", "school": "HSS", "institution": "SHRI RAM RATAN SINGHAL COMPUTER & VOCATIONAL CENTER, JODHPUR", "accent": "#0F766E", "badgeColor": "#0F766E", "textColor": "#FFFFFF", "slidesCount": 12, "slideTitles": [ "NCERT World — live", "What you will see", "Step 1 · Open NCERT World", "Step 2 · Ask in Hindi", "Step 3 · Find a diagram", "Step 4 · Ask the way we talk — Hinglish", "Step 5 · Switch to Class 12", "Step 6 · Open the real page", "Step 7 · The honesty test", "What we measured — say these numbers", "Your turn: ask NCERT World a question from your book", "Built at SRRS AI Lab under the mentorship of Divyanshu Singh Chouhan" ], "notes": [ "", "Here is my plan: one Hindi question, one English question, one in Hinglish — the way we really talk — and one Class 12 physics question.", "", "", "", "", "", "", "", "These are our honest numbers, measured on questions written by NCERT, not by us.", "", "" ], "pptxFile": "/decks/01b-HSS-Demo-NCERT-World.pptx", "pdfFile": "/pdf/01b-HSS-Demo-NCERT-World.pdf", "pptxSize": "4.8 MB", "pdfSize": "5.8 MB", "coverSlide": "/slides/01b-HSS-Demo-NCERT-World/slide-01.png", "coverThumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-01.png", "slides": [ { "index": 1, "pad": "01", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-01.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-01.png", "title": "NCERT World — live", "notes": "" }, { "index": 2, "pad": "02", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-02.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-02.png", "title": "What you will see", "notes": "Here is my plan: one Hindi question, one English question, one in Hinglish — the way we really talk — and one Class 12 physics question." }, { "index": 3, "pad": "03", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-03.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-03.png", "title": "Step 1 · Open NCERT World", "notes": "" }, { "index": 4, "pad": "04", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-04.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-04.png", "title": "Step 2 · Ask in Hindi", "notes": "" }, { "index": 5, "pad": "05", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-05.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-05.png", "title": "Step 3 · Find a diagram", "notes": "" }, { "index": 6, "pad": "06", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-06.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-06.png", "title": "Step 4 · Ask the way we talk — Hinglish", "notes": "" }, { "index": 7, "pad": "07", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-07.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-07.png", "title": "Step 5 · Switch to Class 12", "notes": "" }, { "index": 8, "pad": "08", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-08.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-08.png", "title": "Step 6 · Open the real page", "notes": "" }, { "index": 9, "pad": "09", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-09.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-09.png", "title": "Step 7 · The honesty test", "notes": "" }, { "index": 10, "pad": "10", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-10.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-10.png", "title": "What we measured — say these numbers", "notes": "These are our honest numbers, measured on questions written by NCERT, not by us." }, { "index": 11, "pad": "11", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-11.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-11.png", "title": "Your turn: ask NCERT World a question from your book", "notes": "" }, { "index": 12, "pad": "12", "image": "/slides/01b-HSS-Demo-NCERT-World/slide-12.png", "thumb": "/thumbs/01b-HSS-Demo-NCERT-World/slide-12.png", "title": "Built at SRRS AI Lab under the mentorship of Divyanshu Singh Chouhan", "notes": "" } ], "studentNotes": [ { "id": "01b-HSS-Demo-NCERT-World-Presenter-Script", "type": "script", "badge": "Presenter Script", "title": "HSS · Presenter script — live demo", "subtitle": "Every slide's DO · SAY · DEEPER · IF ASKED notes, for rehearsal", "pdfFile": "/student-notes/01b-HSS-Demo-NCERT-World-Presenter-Script.pdf", "pagesDir": "/student-notes-pages/01b-HSS-Demo-NCERT-World-Presenter-Script", "thumb": "/student-notes-thumbs/01b-HSS-Demo-NCERT-World-Presenter-Script.png", "pagesCount": 4, "size": "106.0 KB", "readerUrl": "/notes/01b-HSS-Demo-NCERT-World-Presenter-Script", "deckId": "01b-HSS-Demo-NCERT-World", "school": "HSS" } ] }, { "id": "02a-AJDG-Concept-Class4-Gita", "number": "02a", "title": "AJDG — Class 4: teaching an AI the Gītā", "subtitle": "Tech brief: fine-tuning in four classes, and what we measured", "school": "AJDG", "institution": "SHRI RAM RATAN SINGHAL COMPUTER & VOCATIONAL CENTER, JODHPUR", "accent": "#B4380F", "badgeColor": "#B4380F", "textColor": "#FFFFFF", "slidesCount": 21, "slideTitles": [ "Teaching an AI one book deeply", "An AI can sound sure —", "Asked for one verse, it gave another", "Two stages of learning — like a student", "LoRA: notes in the margin", "It learns the patterns of whatever it reads", "Why the Gītā: one question, one complete answer", "Our first model: what it learned", "Gemma 4 thinks first — we read its thoughts", "Second try: send it to school", "Class 1 · Long stories", "Class 2 · Chapter 18, the text itself", "Class 3 · Deep reflection", "Class 4 · All 18 chapters, three languages", "Why it repeated: a setting, not the scripture", "We read every answer — 108 verses", "Form learned — meaning still to come", "The big question: better beyond the Gītā?", "Voice from training, memory from search", "Make your own: the recipe works for any book", "We are not teaching it answers." ], "notes": [ "Good morning.", "Before teaching an AI anything, we must see its problem.", "This is a real answer we recorded on 13 October.", "An AI learns in two stages, like us: first general school, then a specialisation.", "We never rewrite Google's model.", "Fine-tuning works with any book.", "The Gita opens with a blind king's question, and ends with Arjuna saying: my delusion is gone, my memory has returned.", "Our first try learned the VOICE of the teachers strongly, but got worse at reciting exact verses, and it repeated itself a lot.", "Gemma 4 can write down its thinking before it answers — so we could READ what our first model was thinking.", "So for our second model we built a real school: four classes, each with one clear purpose.", "Class 1 is like reading story books before serious study.", "Class 2 studies only Chapter 18 — the last chapter, which sums up the whole Gita — and learns its text very closely.", "Class 3 is the heart of our school.", "Class 4 brings it all together: all eighteen chapters, every kind of lesson, in three languages.", "We looked inside the loops.", "Numbers can fool us, so we READ the answers.", "Our model learned HOW the teachers think: it writes its thoughts the way they write commentary, it knows who is speaking, and it finishes a thought at the length it learned.", "This is the question we care about most: does studying the Gita make the model better beyond the Gita?", "So the biggest lesson: training shapes how an AI thinks and speaks; search gives it exact memory.", "Any student can reuse our recipe.", "To sum up: our first model learned the teachers' voice; reading its thoughts showed us it was copying." ], "pptxFile": "/decks/02a-AJDG-Concept-Class4-Gita.pptx", "pdfFile": "/pdf/02a-AJDG-Concept-Class4-Gita.pdf", "pptxSize": "138.7 KB", "pdfSize": "1.4 MB", "coverSlide": "/slides/02a-AJDG-Concept-Class4-Gita/slide-01.png", "coverThumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-01.png", "slides": [ { "index": 1, "pad": "01", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-01.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-01.png", "title": "Teaching an AI one book deeply", "notes": "Good morning." }, { "index": 2, "pad": "02", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-02.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-02.png", "title": "An AI can sound sure —", "notes": "Before teaching an AI anything, we must see its problem." }, { "index": 3, "pad": "03", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-03.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-03.png", "title": "Asked for one verse, it gave another", "notes": "This is a real answer we recorded on 13 October." }, { "index": 4, "pad": "04", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-04.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-04.png", "title": "Two stages of learning — like a student", "notes": "An AI learns in two stages, like us: first general school, then a specialisation." }, { "index": 5, "pad": "05", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-05.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-05.png", "title": "LoRA: notes in the margin", "notes": "We never rewrite Google's model." }, { "index": 6, "pad": "06", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-06.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-06.png", "title": "It learns the patterns of whatever it reads", "notes": "Fine-tuning works with any book." }, { "index": 7, "pad": "07", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-07.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-07.png", "title": "Why the Gītā: one question, one complete answer", "notes": "The Gita opens with a blind king's question, and ends with Arjuna saying: my delusion is gone, my memory has returned." }, { "index": 8, "pad": "08", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-08.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-08.png", "title": "Our first model: what it learned", "notes": "Our first try learned the VOICE of the teachers strongly, but got worse at reciting exact verses, and it repeated itself a lot." }, { "index": 9, "pad": "09", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-09.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-09.png", "title": "Gemma 4 thinks first — we read its thoughts", "notes": "Gemma 4 can write down its thinking before it answers — so we could READ what our first model was thinking." }, { "index": 10, "pad": "10", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-10.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-10.png", "title": "Second try: send it to school", "notes": "So for our second model we built a real school: four classes, each with one clear purpose." }, { "index": 11, "pad": "11", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-11.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-11.png", "title": "Class 1 · Long stories", "notes": "Class 1 is like reading story books before serious study." }, { "index": 12, "pad": "12", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-12.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-12.png", "title": "Class 2 · Chapter 18, the text itself", "notes": "Class 2 studies only Chapter 18 — the last chapter, which sums up the whole Gita — and learns its text very closely." }, { "index": 13, "pad": "13", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-13.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-13.png", "title": "Class 3 · Deep reflection", "notes": "Class 3 is the heart of our school." }, { "index": 14, "pad": "14", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-14.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-14.png", "title": "Class 4 · All 18 chapters, three languages", "notes": "Class 4 brings it all together: all eighteen chapters, every kind of lesson, in three languages." }, { "index": 15, "pad": "15", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-15.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-15.png", "title": "Why it repeated: a setting, not the scripture", "notes": "We looked inside the loops." }, { "index": 16, "pad": "16", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-16.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-16.png", "title": "We read every answer — 108 verses", "notes": "Numbers can fool us, so we READ the answers." }, { "index": 17, "pad": "17", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-17.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-17.png", "title": "Form learned — meaning still to come", "notes": "Our model learned HOW the teachers think: it writes its thoughts the way they write commentary, it knows who is speaking, and it finishes a thought at the length it learned." }, { "index": 18, "pad": "18", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-18.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-18.png", "title": "The big question: better beyond the Gītā?", "notes": "This is the question we care about most: does studying the Gita make the model better beyond the Gita?" }, { "index": 19, "pad": "19", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-19.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-19.png", "title": "Voice from training, memory from search", "notes": "So the biggest lesson: training shapes how an AI thinks and speaks; search gives it exact memory." }, { "index": 20, "pad": "20", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-20.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-20.png", "title": "Make your own: the recipe works for any book", "notes": "Any student can reuse our recipe." }, { "index": 21, "pad": "21", "image": "/slides/02a-AJDG-Concept-Class4-Gita/slide-21.png", "thumb": "/thumbs/02a-AJDG-Concept-Class4-Gita/slide-21.png", "title": "We are not teaching it answers.", "notes": "To sum up: our first model learned the teachers' voice; reading its thoughts showed us it was copying." } ], "studentNotes": [ { "id": "AJDG-1-Concept-Notes", "type": "concept-notes", "badge": "Concept Notes", "title": "AJDG · Student concept notes", "subtitle": "The ideas behind the project, in simple words", "pdfFile": "/student-notes/AJDG-1-Concept-Notes.pdf", "pagesDir": "/student-notes-pages/AJDG-1-Concept-Notes", "thumb": "/student-notes-thumbs/AJDG-1-Concept-Notes.png", "pagesCount": 7, "size": "365.7 KB", "readerUrl": "/notes/AJDG-1-Concept-Notes", "deckId": "02a-AJDG-Concept-Class4-Gita", "school": "AJDG" }, { "id": "AJDG-2-Glossary", "type": "glossary", "badge": "Glossary", "title": "AJDG · Glossary — every word, made simple", "subtitle": "The technical words in our slides, explained simply", "pdfFile": "/student-notes/AJDG-2-Glossary.pdf", "pagesDir": "/student-notes-pages/AJDG-2-Glossary", "thumb": "/student-notes-thumbs/AJDG-2-Glossary.png", "pagesCount": 4, "size": "250.8 KB", "readerUrl": "/notes/AJDG-2-Glossary", "deckId": "02a-AJDG-Concept-Class4-Gita", "school": "AJDG" }, { "id": "02a-AJDG-Concept-Class4-Gita-Presenter-Script", "type": "script", "badge": "Presenter Script", "title": "AJDG · Presenter script — teaching an AI the Gītā", "subtitle": "Every slide's DO · SAY · DEEPER · IF ASKED notes, for rehearsal", "pdfFile": "/student-notes/02a-AJDG-Concept-Class4-Gita-Presenter-Script.pdf", "pagesDir": "/student-notes-pages/02a-AJDG-Concept-Class4-Gita-Presenter-Script", "thumb": "/student-notes-thumbs/02a-AJDG-Concept-Class4-Gita-Presenter-Script.png", "pagesCount": 7, "size": "138.3 KB", "readerUrl": "/notes/02a-AJDG-Concept-Class4-Gita-Presenter-Script", "deckId": "02a-AJDG-Concept-Class4-Gita", "school": "AJDG" } ] }, { "id": "02b-AJDG-Demo-Class4-Gita", "number": "02b", "title": "AJDG — Class 4: side by side", "subtitle": "Product demonstration: real answers, Google's original vs our models", "school": "AJDG", "institution": "SHRI RAM RATAN SINGHAL COMPUTER & VOCATIONAL CENTER, JODHPUR", "accent": "#B4380F", "badgeColor": "#B4380F", "textColor": "#FFFFFF", "slidesCount": 10, "slideTitles": [ "Same question, two models", "A fair test: only one thing changes", "Test 1 · Gītā 2.22 — Swami Ramsukhdas ji", "Look inside · the thought before the answer", "Test 2 · Recite Gita 8.19 in Sanskrit", "Test 3 · One setting fixes the loops", "Test 4 · Gītā 3.7 — our newest model", "Say these facts — and only these", "Training gave it the teachers' voice.", "Built at SRRS AI Lab under the mentorship of Divyanshu Singh Chouhan" ], "notes": [ "I will show you real answers from two models: Google's original, and our first fine-tuned model.", "To compare fairly, we changed only one thing: the margin notes switched off or on.", "On top is what Swami Ramsukhdas ji actually wrote for verse 2.22: as a person leaves old clothes and puts on new ones, the embodied one leaves old bodies and goes into new ones.", "This is the raw output for verse 2.22.", "Now the hardest test: recite verse 8.19 exactly.", "We found a simple fix for the loops: a setting called repeat penalty, which discourages the model from repeating words.", "Verse 3.7: the person who controls the senses with the mind and does karma-yoga UNATTACHED is the best.", "These are our honest numbers.", "", "" ], "pptxFile": "/decks/02b-AJDG-Demo-Class4-Gita.pptx", "pdfFile": "/pdf/02b-AJDG-Demo-Class4-Gita.pdf", "pptxSize": "68.7 KB", "pdfSize": "703.3 KB", "coverSlide": "/slides/02b-AJDG-Demo-Class4-Gita/slide-01.png", "coverThumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-01.png", "slides": [ { "index": 1, "pad": "01", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-01.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-01.png", "title": "Same question, two models", "notes": "I will show you real answers from two models: Google's original, and our first fine-tuned model." }, { "index": 2, "pad": "02", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-02.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-02.png", "title": "A fair test: only one thing changes", "notes": "To compare fairly, we changed only one thing: the margin notes switched off or on." }, { "index": 3, "pad": "03", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-03.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-03.png", "title": "Test 1 · Gītā 2.22 — Swami Ramsukhdas ji", "notes": "On top is what Swami Ramsukhdas ji actually wrote for verse 2.22: as a person leaves old clothes and puts on new ones, the embodied one leaves old bodies and goes into new ones." }, { "index": 4, "pad": "04", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-04.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-04.png", "title": "Look inside · the thought before the answer", "notes": "This is the raw output for verse 2.22." }, { "index": 5, "pad": "05", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-05.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-05.png", "title": "Test 2 · Recite Gita 8.19 in Sanskrit", "notes": "Now the hardest test: recite verse 8.19 exactly." }, { "index": 6, "pad": "06", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-06.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-06.png", "title": "Test 3 · One setting fixes the loops", "notes": "We found a simple fix for the loops: a setting called repeat penalty, which discourages the model from repeating words." }, { "index": 7, "pad": "07", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-07.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-07.png", "title": "Test 4 · Gītā 3.7 — our newest model", "notes": "Verse 3.7: the person who controls the senses with the mind and does karma-yoga UNATTACHED is the best." }, { "index": 8, "pad": "08", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-08.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-08.png", "title": "Say these facts — and only these", "notes": "These are our honest numbers." }, { "index": 9, "pad": "09", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-09.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-09.png", "title": "Training gave it the teachers' voice.", "notes": "" }, { "index": 10, "pad": "10", "image": "/slides/02b-AJDG-Demo-Class4-Gita/slide-10.png", "thumb": "/thumbs/02b-AJDG-Demo-Class4-Gita/slide-10.png", "title": "Built at SRRS AI Lab under the mentorship of Divyanshu Singh Chouhan", "notes": "" } ], "studentNotes": [ { "id": "02b-AJDG-Demo-Class4-Gita-Presenter-Script", "type": "script", "badge": "Presenter Script", "title": "AJDG · Presenter script — side by side", "subtitle": "Every slide's DO · SAY · DEEPER · IF ASKED notes, for rehearsal", "pdfFile": "/student-notes/02b-AJDG-Demo-Class4-Gita-Presenter-Script.pdf", "pagesDir": "/student-notes-pages/02b-AJDG-Demo-Class4-Gita-Presenter-Script", "thumb": "/student-notes-thumbs/02b-AJDG-Demo-Class4-Gita-Presenter-Script.png", "pagesCount": 3, "size": "117.4 KB", "readerUrl": "/notes/02b-AJDG-Demo-Class4-Gita-Presenter-Script", "deckId": "02b-AJDG-Demo-Class4-Gita", "school": "AJDG" } ] }, { "id": "03a-BDRKA-Concept-JanSahay", "number": "03a", "title": "BDRKA — Jan Sahay: AI for every citizen", "subtitle": "Tech brief: AI researches, humans check, rules decide", "school": "BDRKA", "institution": "SHRI RAM RATAN SINGHAL COMPUTER & VOCATIONAL CENTER, JODHPUR", "accent": "#15803D", "badgeColor": "#15803D", "textColor": "#FFFFFF", "slidesCount": 14, "slideTitles": [ "AI for every citizen", "Meet Kamla", "Why not just ask a chatbot?", "AI researches. Humans check. Rules decide", "How the matching works — one example", "Designed for real people", "Nothing leaves the phone", "Jan Sahay — जनसहाय", "One app, three platforms", "“May fit” — never “you will get it”", "Built to be trusted", "A first step before the official portal", "Ready to grow to all of India", "AI to research, people to check, rules to decide —" ], "notes": [ "Good morning.", "Kamla is a demo person — but her story is real for many families.", "For a family, a wrong answer is not just a mistake — it is a wasted trip, or help never claimed.", "This is our three-step method.", "Here is how one match works.", "We designed for Kamla, not for us.", "Kamla's answers stay on her phone.", "Now the product we built: Jan Sahay.", "Jan Sahay runs on the web, on Android and on iPhone — the same app, written once.", "Jan Sahay never says 'you are eligible'.", "Trust is not a slogan, it is tests.", "India already has an official portal, myScheme: more than 4,700 schemes, 15 languages, and an AI chatbot you can talk to.", "Rajasthan is the first state done fully.", "So that is our idea: AI where it is strong, people and fixed rules where a mistake would hurt." ], "pptxFile": "/decks/03a-BDRKA-Concept-JanSahay.pptx", "pdfFile": "/pdf/03a-BDRKA-Concept-JanSahay.pdf", "pptxSize": "158.0 KB", "pdfSize": "820.5 KB", "coverSlide": "/slides/03a-BDRKA-Concept-JanSahay/slide-01.png", "coverThumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-01.png", "slides": [ { "index": 1, "pad": "01", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-01.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-01.png", "title": "AI for every citizen", "notes": "Good morning." }, { "index": 2, "pad": "02", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-02.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-02.png", "title": "Meet Kamla", "notes": "Kamla is a demo person — but her story is real for many families." }, { "index": 3, "pad": "03", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-03.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-03.png", "title": "Why not just ask a chatbot?", "notes": "For a family, a wrong answer is not just a mistake — it is a wasted trip, or help never claimed." }, { "index": 4, "pad": "04", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-04.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-04.png", "title": "AI researches. Humans check. Rules decide", "notes": "This is our three-step method." }, { "index": 5, "pad": "05", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-05.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-05.png", "title": "How the matching works — one example", "notes": "Here is how one match works." }, { "index": 6, "pad": "06", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-06.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-06.png", "title": "Designed for real people", "notes": "We designed for Kamla, not for us." }, { "index": 7, "pad": "07", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-07.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-07.png", "title": "Nothing leaves the phone", "notes": "Kamla's answers stay on her phone." }, { "index": 8, "pad": "08", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-08.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-08.png", "title": "Jan Sahay — जनसहाय", "notes": "Now the product we built: Jan Sahay." }, { "index": 9, "pad": "09", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-09.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-09.png", "title": "One app, three platforms", "notes": "Jan Sahay runs on the web, on Android and on iPhone — the same app, written once." }, { "index": 10, "pad": "10", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-10.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-10.png", "title": "“May fit” — never “you will get it”", "notes": "Jan Sahay never says 'you are eligible'." }, { "index": 11, "pad": "11", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-11.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-11.png", "title": "Built to be trusted", "notes": "Trust is not a slogan, it is tests." }, { "index": 12, "pad": "12", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-12.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-12.png", "title": "A first step before the official portal", "notes": "India already has an official portal, myScheme: more than 4,700 schemes, 15 languages, and an AI chatbot you can talk to." }, { "index": 13, "pad": "13", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-13.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-13.png", "title": "Ready to grow to all of India", "notes": "Rajasthan is the first state done fully." }, { "index": 14, "pad": "14", "image": "/slides/03a-BDRKA-Concept-JanSahay/slide-14.png", "thumb": "/thumbs/03a-BDRKA-Concept-JanSahay/slide-14.png", "title": "AI to research, people to check, rules to decide —", "notes": "So that is our idea: AI where it is strong, people and fixed rules where a mistake would hurt." } ], "studentNotes": [ { "id": "BDRKA-1-Concept-Notes", "type": "concept-notes", "badge": "Concept Notes", "title": "BDRKA · Student concept notes", "subtitle": "The ideas behind the project, in simple words", "pdfFile": "/student-notes/BDRKA-1-Concept-Notes.pdf", "pagesDir": "/student-notes-pages/BDRKA-1-Concept-Notes", "thumb": "/student-notes-thumbs/BDRKA-1-Concept-Notes.png", "pagesCount": 4, "size": "250.9 KB", "readerUrl": "/notes/BDRKA-1-Concept-Notes", "deckId": "03a-BDRKA-Concept-JanSahay", "school": "BDRKA" }, { "id": "BDRKA-2-Glossary", "type": "glossary", "badge": "Glossary", "title": "BDRKA · Glossary — every word, made simple", "subtitle": "The technical words in our slides, explained simply", "pdfFile": "/student-notes/BDRKA-2-Glossary.pdf", "pagesDir": "/student-notes-pages/BDRKA-2-Glossary", "thumb": "/student-notes-thumbs/BDRKA-2-Glossary.png", "pagesCount": 4, "size": "256.4 KB", "readerUrl": "/notes/BDRKA-2-Glossary", "deckId": "03a-BDRKA-Concept-JanSahay", "school": "BDRKA" }, { "id": "03a-BDRKA-Concept-JanSahay-Presenter-Script", "type": "script", "badge": "Presenter Script", "title": "BDRKA · Presenter script — AI for every citizen", "subtitle": "Every slide's DO · SAY · DEEPER · IF ASKED notes, for rehearsal", "pdfFile": "/student-notes/03a-BDRKA-Concept-JanSahay-Presenter-Script.pdf", "pagesDir": "/student-notes-pages/03a-BDRKA-Concept-JanSahay-Presenter-Script", "thumb": "/student-notes-thumbs/03a-BDRKA-Concept-JanSahay-Presenter-Script.png", "pagesCount": 4, "size": "107.4 KB", "readerUrl": "/notes/03a-BDRKA-Concept-JanSahay-Presenter-Script", "deckId": "03a-BDRKA-Concept-JanSahay", "school": "BDRKA" } ] }, { "id": "03b-BDRKA-Demo-JanSahay", "number": "03b", "title": "BDRKA — Jan Sahay: Kamla's one trip", "subtitle": "Product demonstration: the app, step by step", "school": "BDRKA", "institution": "SHRI RAM RATAN SINGHAL COMPUTER & VOCATIONAL CENTER, JODHPUR", "accent": "#15803D", "badgeColor": "#15803D", "textColor": "#FFFFFF", "slidesCount": 11, "slideTitles": [ "Jan Sahay — live, as Kamla", "Step 1 · Choose a language", "Step 2 · Answer four questions", "Step 3 · 78 schemes may fit", "Step 4 · Why this one fits", "Step 5 · Papers to carry", "Step 6 · Saved on her phone", "Step 7 · Make it comfortable", "Say these facts — and only these", "One phone. Four questions. One trip.", "Built at SRRS AI Lab under the mentorship of Divyanshu Singh Chouhan" ], "notes": [ "", "", "", "", "", "", "", "", "To end the demo: 145 schemes, 141 checked against official sources, 78 may fit Kamla, and nothing about her left the phone.", "", "" ], "pptxFile": "/decks/03b-BDRKA-Demo-JanSahay.pptx", "pdfFile": "/pdf/03b-BDRKA-Demo-JanSahay.pdf", "pptxSize": "2.9 MB", "pdfSize": "4.2 MB", "coverSlide": "/slides/03b-BDRKA-Demo-JanSahay/slide-01.png", "coverThumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-01.png", "slides": [ { "index": 1, "pad": "01", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-01.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-01.png", "title": "Jan Sahay — live, as Kamla", "notes": "" }, { "index": 2, "pad": "02", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-02.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-02.png", "title": "Step 1 · Choose a language", "notes": "" }, { "index": 3, "pad": "03", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-03.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-03.png", "title": "Step 2 · Answer four questions", "notes": "" }, { "index": 4, "pad": "04", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-04.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-04.png", "title": "Step 3 · 78 schemes may fit", "notes": "" }, { "index": 5, "pad": "05", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-05.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-05.png", "title": "Step 4 · Why this one fits", "notes": "" }, { "index": 6, "pad": "06", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-06.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-06.png", "title": "Step 5 · Papers to carry", "notes": "" }, { "index": 7, "pad": "07", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-07.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-07.png", "title": "Step 6 · Saved on her phone", "notes": "" }, { "index": 8, "pad": "08", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-08.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-08.png", "title": "Step 7 · Make it comfortable", "notes": "" }, { "index": 9, "pad": "09", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-09.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-09.png", "title": "Say these facts — and only these", "notes": "To end the demo: 145 schemes, 141 checked against official sources, 78 may fit Kamla, and nothing about her left the phone." }, { "index": 10, "pad": "10", "image": "/slides/03b-BDRKA-Demo-JanSahay/slide-10.png", "thumb": "/thumbs/03b-BDRKA-Demo-JanSahay/slide-10.png", "title": "One phone. 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