BEGIN:VCALENDAR VERSION:2.0 PRODID:-//HasGeek//NONSGML Funnel//EN DESCRIPTION:Empowering Digital Privacy: From Laws to Everyday Life X-WR-CALDESC:Empowering Digital Privacy: From Laws to Everyday Life NAME:Our Privacy X-WR-CALNAME:Our Privacy REFRESH-INTERVAL;VALUE=DURATION:PT12H SUMMARY:Our Privacy TIMEZONE-ID:Asia/Kolkata X-PUBLISHED-TTL:PT12H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT SUMMARY:Your Voice Matters: Analyzing the Draft DPDP Rules 2025 DTSTART:20250111T123000Z DTEND:20250111T133000Z DTSTAMP:20260420T144022Z UID:session/T3j31HnETS64rrnYgMzcbV@hasgeek.com SEQUENCE:4 CREATED:20250107T080308Z DESCRIPTION:The Ministry of Electronics and Information Technology (MeitY) has released the draft 'Digital Personal Data Protection Rules\, 2025' fo r public feedback. As responsible citizens and business owners\, we have a crucial opportunity to review these rules and potentially influence India 's data protection framework.\n\nšŸ” Session Objectives:\n- Analyze the D raft Digital Personal Data Protection Rules\, 2025\n- Discuss implications for individuals\, families\, and businesses\n- Compare with global data p rotection standards\n- Formulate recommendations to submit to MeitY before the February 18\, 2025 deadline\n\nšŸ“„ Please review the draft rules bef ore the session:\nhttps://www.meity.gov.in/writereaddata/files/259889.pdf\ n\n\nšŸ–„ļø Meeting Location:\nhttps://meet.google.com/scn-adjf-qgm\n\n šŸ“œ Chatham House Rules Agreement:\nBy participating in this session\, al l attendees agree to abide by the Chatham House Rules. This means that par ticipants are free to use the information received during the meeting\, bu t neither the identity nor the affiliation of the speaker(s)\, nor that of any other participant\, may be revealed without their explicit permission . This rule encourages open and honest discussion while protecting individ uals' privacy and professional interests.\n\nšŸ“ Post-Meeting Notes:\nAno nymized meeting notes will be shared with all participants after the sessi on. These notes will capture key discussion points and recommendations whi le adhering to the Chatham House Rules\, ensuring that no individual contr ibutions are attributed to specific participants. Notes will be sent to al l registered users. \n LAST-MODIFIED:20250109T162657Z LOCATION:Online ORGANIZER;CN="Community Tech":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Your Voice Matters: Analyzing the Draft DPDP Rules 2025 in 5 m inutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:šŸ› ļø Working Session: Building an Open Source Multilingual Poli cy Document Analyzer with DeepSeek R1* DTSTART:20250129T130000Z DTEND:20250129T140000Z DTSTAMP:20260420T144022Z UID:session/CE4YY6WWBdSS2FiXSPbSzP@hasgeek.com SEQUENCE:2 CREATED:20250128T155200Z DESCRIPTION:\n\nJoin us for a hands-on working session where we'll build a n open-source solution that enables multilingual question-answering agains t policy documents using AI. The system will help users understand policie s better by providing relevant context and accurate answers in multiple la nguages.\n\nšŸŽÆ Session Objectives:\n- Create a React-based frontend for policy document queries\n- Implement Google Cloud Functions backend for do cument processing\n- Enable multilingual support \n- Integrate AI for inte lligent response generation\n- Build a source-citing mechanism for transpa rency\n\nāš™ļø Technical Stack:\n- Frontend: React.js\n- Backend: Google Cloud Functions\n- AI: OpenAI/Google/Open Source LLMs\n- Storage: Google C loud Storage\n- Database: Firestore\n- Codebase:\n - Frontend: https://g ithub.com/A-Good-Company/analyzepolicy-frontend\n - Backend: https://git hub.com/A-Good-Company/analyzepolicy-backend\n\nšŸ’” Development Innovatio n:\nWe'll be using DeepSeek R1*\, a reasoning-first language model\, to as sist in our development process. This will demonstrate how modern AI can e nhance development workflows while we build our policy analysis solution.\ n\n*Note: While DeepSeek R1 assists in development\, its availability is n ot reliable currently. The session will proceed with alternative approache s if needed.\n\nšŸ–„ļø Meeting Location:\nhttps://meet.google.com/scn-adj f-qgm\n\nā° Time: Wednesday\, 6:30 PM IST\n\nšŸ“ Session Outputs:\n- Wor king prototype code\n- Architecture documentation\n- Deployment guidelines \n- Collaboration opportunities\n\nThe session will be practical and code- focused\, with opportunities for participants to ask questions and contrib ute ideas.\n\nšŸ“œ Code Sharing Agreement:\nAll code developed during this session will be open-source and shared with participants. Participants ar e free to use\, modify\, and distribute the code while maintaining appropr iate attribution.\n\nLooking forward to building together! šŸš€ LAST-MODIFIED:20250128T160759Z LOCATION:Online ORGANIZER;CN="Community Tech":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:šŸ› ļø Working Session: Building an Open Source Multilingual Policy Document Analyzer with DeepSeek R1* in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Working Session 2: Building an Open Source Multilingual Policy Doc ument Analyzer with DeepSeek R1* DTSTART:20250205T130000Z DTEND:20250205T140000Z DTSTAMP:20260420T144022Z UID:session/7cDNJgfbrdM8WMu3rhb6dM@hasgeek.com SEQUENCE:0 CREATED:20250204T062145Z DESCRIPTION:\n\nJoin us for a hands-on working session where we'll build a n open-source solution that enables multilingual question-answering agains t policy documents using AI. The system will help users understand policie s better by providing relevant context and accurate answers in multiple la nguages.\n\nšŸŽÆ Session Objectives:\n- Create a React-based frontend for policy document queries\n- Implement Google Cloud Functions backend for do cument processing\n- Enable multilingual support \n- Integrate AI for inte lligent response generation\n- Build a source-citing mechanism for transpa rency\n\nāš™ļø Technical Stack:\n- Frontend: React.js\n- Backend: Google Cloud Functions\n- AI: OpenAI/Google/Open Source LLMs\n- Storage: Google C loud Storage\n- Database: Firestore\n- Codebase:\n - Frontend: https://g ithub.com/A-Good-Company/analyzepolicy-frontend\n - Backend: https://git hub.com/A-Good-Company/analyzepolicy-backend\n\nšŸ’” Development Innovatio n:\nWe'll be using DeepSeek R1*\, a reasoning-first language model\, to as sist in our development process. This will demonstrate how modern AI can e nhance development workflows while we build our policy analysis solution.\ n\n*Note: While DeepSeek R1 assists in development\, its availability is n ot reliable currently. The session will proceed with alternative approache s if needed.\n\nšŸ–„ļø Meeting Location:\nhttps://meet.google.com/scn-adj f-qgm\n\nā° Time: Wednesday\, 6:30 PM IST\n\nšŸ“ Session Outputs:\n- Wor king prototype code\n- Architecture documentation\n- Deployment guidelines \n- Collaboration opportunities\n\nThe session will be practical and code- focused\, with opportunities for participants to ask questions and contrib ute ideas.\n\nšŸ“œ Code Sharing Agreement:\nAll code developed during this session will be open-source and shared with participants. Participants ar e free to use\, modify\, and distribute the code while maintaining appropr iate attribution.\n\nLooking forward to building together! šŸš€ LAST-MODIFIED:20250204T062145Z LOCATION:Online ORGANIZER;CN="Community Tech":MAILTO:no-reply@hasgeek.com BEGIN:VALARM ACTION:display DESCRIPTION:Working Session 2: Building an Open Source Multilingual Policy Document Analyzer with DeepSeek R1* in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT END:VCALENDAR