Create attached_assets/Pasted--Ancestral-Archive-Ancestral-Archive-is-a-multilingual-open-source-Streamlit-application-t-1752745833951_1752745833952.txt

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+# 📚 Ancestral Archive
+
+**Ancestral Archive** is a multilingual, open-source Streamlit application to **collect, preserve, and share ancestral Indian wisdom** — including home remedies, sustainable farming practices, spiritual rituals, folk stories, proverbs, and oral histories. Built with an **offline-first, low-bandwidth design**, it enables contributions from under-connected regions and generates a culturally rich corpus suitable for open-source AI research.
+
+---
+
+## 🌟 Why This Project?
+Many forms of traditional knowledge are undocumented and at risk of disappearing. By making it *easy and rewarding* for people to contribute in their own language, Ancestral Archive becomes both:
+- A community heritage project
+- A **corpus collection engine** (aligned with the viswam.ai challenge) that captures diverse, real-world Indian language data
+
+---
+
+## ✨ Core MVP Features (Week 1 Goal)
+- Submit an entry (title, description/body text, language, category)
+- Optional media upload (image/audio)
+- Local JSON storage (offline-friendly; minimal dependencies)
+- Browse previously submitted entries
+- Export entries to JSONL/CSV for corpus use
+- Basic sidebar navigation with future feature placeholders
+
+---
+
+## 🛤 Project Timeline Alignment
+This README corresponds to the 4-week structured sprint:
+
+| Phase        | Duration     | Focus                                           | Deliverable              |
+|--------------|--------------|-------------------------------------------------|--------------------------|
+| **Week 1**   | Dev Sprint   | Build functional MVP; deploy to Hugging Face    | Live app link            |
+| **Week 2**   | Beta Testing | Recruit testers; low-bandwidth checks; feedback | Feedback log + fixes     |
+| **Weeks 3–4**| Growth       | User acquisition; measure entries & languages   | Metrics in REPORT.md     |
+
+See **REPORT.md** for detailed lifecycle documentation, metrics tables, feedback logs, and growth outcomes.
+
+---
+
+## 🧠 Planned AI Integrations
+*(Post-MVP / stretch goals; all open-source models only)*  
+- Language detection  
+- Auto translation (IndicNLP / Hugging Face models)  
+- Summarization of long entries  
+- Dialect clustering for linguistic research  
+
+---
+
+## 🛠 Tech Stack
+- **Frontend:** Streamlit (Python)
+- **Backend:** Local JSON storage (offline-first)
+- **Media:** Image & audio stored in `/data_entries`
+- **Deployment:** Hugging Face Spaces
+- **AI Models (planned):** Hugging Face open-source models
+
+---
+
+## 🚀 Getting Started
+
+### ✅ Prerequisites
+- Python 3.9+
+- pip (Python package manager)
+
+### ✅ Installation
+Clone the repository:
+
+git clone https://code.swecha.org/your-team/ancestral-archive.git
+cd ancestral-archive
+
+Install dependencies:
+pip install -r requirements.txt
+
+Run the app:
+streamlit run app/main.py
+
+---
+
+## 📂 Project Structure
+```bash
+ancestral-archive/
+├── app/
+│   ├── main.py            # Streamlit app logic
+│   └── helpers.py         # Utility functions
+├── data_entries/          # JSON files & media uploads
+├── .streamlit/            # Optional config
+├── README.md              # Project overview (this file)
+├── REPORT.md              # Detailed project report
+├── requirements.txt       # Python dependencies
+├── CONTRIBUTING.md        # Guidelines for contributors
+├── CHANGELOG.md           # Version history
+├── LICENSE                # MIT license
+```
+---
+
+## 🧪 Testing & Feedback Plan
+**Week 2 (Beta Testing):**
+- Target users: Students, elders, rural communities
+- Test offline & on low-bandwidth connections (hotspot/2G)
+- Collect feedback via Google Forms & short interviews
+- Log bugs + fixes in `CHANGELOG.md` and summary in `REPORT.md`
+
+---
+
+## 📈 Growth Strategy
+**Weeks 3–4:**
+- Share via WhatsApp, local community groups, NGO partners
+- Use posters + short video demo to drive participation
+- Encourage submissions in regional languages/dialects
+- Track metrics: unique users, entries, languages, media attachments
+
+---
+
+## 📜 License
+This project is licensed under the **MIT License**. See the `LICENSE` file for details.
+
+---
+
+## 🎥 Demo Video
+- Brief intro: Problem + Solution
+- Walkthrough of core features
+- Offline/low-bandwidth usage demo
+- Future AI integrations roadmap