Commit 4f4a0e

2025-09-25 06:18:06 Sayali Mahajan: Updated the doc with fomatting
Projects/AnswerVault.md ..
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- <center><h1>AnswerVault</h1></center>
+ <center><h1>πŸš€ AnswerVault</h1></center>
# Project: AnswerVault
- **Tagline:** Ensuring that when employees leave, change roles, or new hires join, no expertise is lost.
+ **Tagline:** Ensuring that when employees leave, change roles, or new hires join, no expertise is lost.
- **Team:** [Team Orbit](https://wiki.enovate-it.com/Teams/Team%20Orbit)
+ **Team:** [Team Orbit](https://wiki.enovate-it.com/Teams/Team%20Orbit)
+ **Project Status:** 🟑 Planning
- **Project Status:** Planning
+
+ ## πŸ“Œ **Overview**
+ **AnswerVault** is an **AI-powered knowledge continuity platform** that automatically captures, organizes, and transfers critical knowledge within an organization β€” ensuring that when employees leave, change roles, or new hires join, no expertise is lost and knowledge is instantly accessible.
+
+ #### ✨ **Key Characteristics:**
+ 1. πŸ“ Always-On Knowledge Capture
+ 2. πŸ€– AI-Powered Summarization & Q&A
+ 3. πŸ”— Knowledge Graph of People, Projects, and Decisions
+ 4. πŸ“¦ Automated Handover Packages
+ 5. πŸ“Š Succession Planning & Risk Insights
+ 6. πŸš€ Onboarding Accelerator
+
+
+ ## ❌ **The Problem**
+
+ 1. When an employee resigns or changes roles, a huge chunk of undocumented knowledge leaves with them.
+ 2. New hires take weeks or months to β€œramp up” because tribal knowledge is scattered.
+ 3. Often only one person knows a critical system β†’ single point of failure.
+ 4. Teams reinvent solutions because past decisions are hidden in Jira or buried in Slack.
+ 5. Leaders don’t have visibility into who holds what knowledge.
+ 6. Manual documentation is boring, outdated, and nobody does it consistently.
+ 7. Experts are overloaded answering repetitive questions.
+
+
+ ## πŸ’‘ **Our AI Solution**
+
+ #### βœ… **What does it do?**
+ 1. **For Employees:** Smooth onboarding, less frustration, faster learning.
+ 2. **For Teams:** Less dependency on single experts, better collaboration.
+ 3. **For Managers:** Clear risk visibility, succession planning, workforce insights.
+ 4. **For Organizations:** Preserve IP, resilience, smoother transitions.
+
+
+ #### βš™οΈ **How does it work? **
+
+ ##### πŸ—οΈ Architecture
+ - **Data Sources** β†’ HRMS, LMS, reviews, chat tools
+ - **Data Processing** β†’ ETL pipelines, skill/role normalization
+ - **Knowledge Graph** β†’ employees ↔ skills ↔ roles ↔ successors
+ - **AI Layer** β†’
+ - NLP for skill extraction/matching
+ - ML for attrition risk & successor readiness
+ - LLM chatbot for Q&A
+ - **App Layer** β†’ dashboards, chatbot, alerts (Google Chat/Telegram)
+
+ #### πŸ”„ **Data Flow**
+ 1. Collect & clean HR/learning/performance data
+ 2. Build knowledge graph of roles & skills
+ 3. Run AI models β†’ risk prediction & readiness scoring
+ 4. Deliver insights via dashboards + chatbot
+
+ ---
+
+ ### πŸš€ **What makes it innovative?**
+
+ 1. Deeper knowledge capture (not just HR data, also chats, code, unstructured docs).
+ 2. Automated handover + AI-clone / chatbot of past work.
+ 3. Detailed knowledge graph showing who owns what modules, and linking artifacts.
+ 4. Continuous ingestion & update rather than periodic HR efforts.
+ 5. Contextual Q&A over actual work vs static competency profiles.
---
- ## Overview
- The AnswerVault is an AI-powered knowledge continuity platform that automatically captures, organizes, and transfers critical knowledge within an organization β€” ensuring that when employees leave, change roles, or new hires join, no expertise is lost and knowledge is instantly accessible.
-
- **Key Characteristics:**
-
- 1. Always-On Knowledge Capture
- 2. AI-Powered Summarization & Q&A
- 3. Knowledge Graph of People, Projects, and Decisions
- 4. Automated Handover Packages
- 5. Succession Planning & Risk Insights
- 6. Onboarding Accelerator
-
-
- ## The Problem
-
- 1. When an employee resigns or changes roles, a huge chunk of undocumented knowledge leaves with them.
- 2. New hires take weeks or months to β€œramp up” because tribal knowledge is scattered.
- 3. Often only one person knows a critical system β†’ single point of failure.
- 4. Teams reinvent solutions because past decisions are hidden in Jira or buried in Slack.
- 5. Leaders don’t have visibility into who holds what knowledge.
- 6. Manual documentation is boring, outdated, and nobody does it consistently.
- 7. Experts are overloaded answering repetitive questions.
-
- ## Our AI Solution
-
- * **What does it do?**
-
- 1. For Employees: Smooth onboarding, less frustration, faster learning.
- 2. For Teams: Less dependency on single experts, better collaboration.
- 3. For Managers: Clear risk visibility, succession planning, workforce insights.
- 4. For Organizations: Preserve IP, resilience, smoother transitions.
-
- * **How does it work?**
-
- **Architecture**
- * Data Sources β†’ HRMS, LMS, reviews, chat tools
- * Data Processing β†’ ETL pipelines, skill/role normalization
- * Knowledge Graph β†’ employees ↔ skills ↔ roles ↔ successors
- * AI Layer β†’
- * NLP for skill extraction/matching
- * ML for attrition risk & successor readiness
- * LLM chatbot for Q&A
- * App Layer β†’ dashboards, chatbot, alerts (Google Chat/Telegram)
-
- **Data Flow**
- 1. Collect & clean HR/learning/performance data
- 2. Build knowledge graph of roles & skills
- 3. Run AI models β†’ risk prediction & readiness scoring
- 4. Deliver insights via dashboards + chatbot
-
- * **What makes it innovative?**
-
- 1. Deeper knowledge capture (not just HR data, also chats, code, unstructured docs).
- 2. Automated handover + AI-clone / chatbot of past work.
- 3. Detailed knowledge graph showing who owns what modules, and linking artifacts.
- 4. Continuous ingestion & update rather than periodic HR efforts.
- 5. Contextual Q&A over actual work vs static competency profiles.
-
- ## Technology Stack
-
- * NLP/LLM: OpenAI (GPT-4), Llama,
- * Framework & Libraries: LangChain
- * Frontend: React.js + Tailwind (dashboards, chatbot UI)
- * Backend: FastAPI (Python) + JWT auth
- * Database: PostgreSQL as a vector DB/Elasticsearch
- * Integrations: Telegram Bot API, Google Chat API
- * Deployment: Docker + Gitlab CI/CD (EC2/DigitalOcean for hosting)
-
- ## Project Architecture
+ ## πŸ› οΈ **Technology Stack**
+
+ - **NLP/LLM:** OpenAI (GPT-4), LLaMA
+ - **Framework & Libraries:** LangChain
+ - **Frontend:** React.js + Tailwind (dashboards, chatbot UI)
+ - **Backend:** FastAPI (Python) + JWT auth
+ - **Database:** PostgreSQL as a vector DB/Elasticsearch
+ - **Integrations:** Telegram Bot API, Google Chat API
+ - **Deployment:** Docker + GitLab CI/CD (EC2/DigitalOcean for hosting)
+
+ ---
+
+ ## πŸ—οΈ **Project Architecture**
```mermaid
graph LR
- A[Data Sources -> HR, Chats, Docs, Code ] --> B[Data Ingestion Pipelines -> APIs, ETL, LLM extractors]
- B --> C[Knowledge Store -> Postgres + pgvector + ElasticSearch]
- C --> D[Knowledge Graph -> Employees ↔ Projs]
- D --> E[AI Services Layer, LLM Q&A - LangChain, Succession Risk, Handover Gen]
- E --> F[Client Interfaces, Web Dashboards - React, Chatbot - Telegram/GC ]
+ A[πŸ“‚ Data Sources β†’ HR, Chats, Docs, Code ] --> B[βš™οΈ Data Ingestion Pipelines β†’ APIs, ETL, LLM extractors]
+ B --> C[πŸ—„οΈ Knowledge Store β†’ Postgres + pgvector + ElasticSearch]
+ C --> D[πŸ”— Knowledge Graph β†’ Employees ↔ Projs]
+ D --> E[πŸ€– AI Services Layer, LLM Q&A - LangChain, Succession Risk, Handover Gen]
+ E --> F[πŸ’» Client Interfaces, Web Dashboards - React, Chatbot - Telegram/GC ]
```
+ ## 🧩 **Challenges & Learnings**
+
+ To be added during development phase
+ ---
+
+ ## πŸ“… **Future Roadmap**
- ## Challenges & Learnings
+ - **Short-term (MVP):**
+ - Integration with **Google Chat & Telegram**
+ - AI-powered **chatbot for Q&A**
+ - **Handover Package Generator**
+ - Dashboards: Employee Profiles & Knowledge Graph
- -- Add later
+ - **Medium-term:** To be added
+ - **Long-term:** To be added
- ## Future Roadmap
+ ---
- What are the next steps for this project if it were to continue?
- * [ ] Short-term goal (Integration with Google chats and Telegram, AI chat bot, Handover Package Generator, dashboards (Employee profile & Knowledge graph)
- * [ ] Medium-term goal -- Add later
- * [ ] Long-term goal -- Add later
+ ## πŸ“‚ **Repository & Demo**
- ## Repository & Live Demo
+ - **GitHub Repository:** πŸ”œ Coming Soon
+ - **Live Demo:** πŸ”œ Coming Soon
- * **GitHub Repository:** -- Add later
- * **Live Demo:** -- Add later
+ ---
- ## Screenshots / Demo Video
+ ## πŸ“Έ **Screenshots / Demo Video**
+
+ πŸ”œ Will be shared in next milestone
+
+ ---
- -- Add later
+ ## 🏷️ **Categories**
- **Categories:** #project #ai-hackathon-[2025] #category-[HR, Succession Planner]
+ #project #ai-hackathon-2025 #HR #SuccessionPlanner
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