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d57082 Sayali Mahajan 2025-09-25 06:49:03 1 
<center><h1>🚀 SkillShift</h1></center>
afeeca Sayali Mahajan 2025-09-22 13:18:52 2
d57082 Sayali Mahajan 2025-09-25 06:49:03 3
# Project: **SkillShift**
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0d74de Sayali Mahajan 2025-09-25 06:44:16 5
**Tagline:** _Ensuring that when employees leave, change roles, or new hires join, no expertise is lost._
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9f8a5a Sayali Mahajan 2025-09-26 12:59:50 7
👥 **Team:** [[Teams/Team Orbit]]
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0d74de Sayali Mahajan 2025-09-25 06:44:16 9
📌 **Status:** 🟡 Planning
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4f4a0e Sayali Mahajan 2025-09-25 06:18:06 11
9f8a5a Sayali Mahajan 2025-09-26 12:59:50 12
# 🔎 **Overview**
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d26704 Prashant Kumar 2025-10-16 04:35:46 14
**SkillShift** is an AI-powered organizational knowledge assistant that helps companies capture, organize, and retrieve insights from internal communication platforms like **Google Chat** and **Telegram**.
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It allows **admins** to manage employees, data sources, and topic-based tags, while **employees** can query information using an AI chatbot powered by **Retrieval-Augmented Generation (RAG)**.
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Messages are sanitized, embedded, and stored for semantic search, ensuring **accurate and context-aware answers**.
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With **secure role-based access**, SkillShift enables teams to find relevant knowledge quickly, reducing dependency on manual information transfer.
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The tool serves as a **smart, centralized knowledge hub** that enhances **transparency, collaboration, and productivity** across the organization.
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9f8a5a Sayali Mahajan 2025-09-26 12:59:50 21
#### ✨ **Key Characteristics**
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1. 📝 Always-On Knowledge Capture
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2. 🤖 AI-Powered Summarization & Q&A
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3. 🔗 Role-Based Access Control (RBAC)
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4. 📦 Tag-Based Organization
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---
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9f8a5a Sayali Mahajan 2025-09-26 12:59:50 29
# ❌ **The Problem**
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0d74de Sayali Mahajan 2025-09-25 06:44:16 31
1. Huge knowledge loss when employees resign or switch roles.
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2. Scattered and unstructured information across multiple chat platforms.
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3. Single points of failure: only one person knows a critical system.
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4. Manual documentation is outdated and inconsistent.
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5. Experts are overloaded answering repetitive questions.
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---
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# 💡 **Our AI Solution**
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#### ✅ **What does it do?**
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- **For Employees:** Smooth onboarding, faster learning, less frustration.
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- **For Teams:** Reduced dependency on single experts, better collaboration.
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#### ⚙️ **How does it work?**
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#### 🏗️ Architecture
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- **Frontend (React):** Employee and Admin dashboards with AI chatbot interface.
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- **Backend (FastAPI):** REST APIs for authentication, data management, and AI query handling.
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- **Database (PostgreSQL + pgvector):** Stores employees, tags, messages, and embeddings for semantic search.
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- **NLP Worker:** Cleans and embeds chat messages for AI retrieval.
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- **Docker Compose:** Orchestrates all services for seamless deployment.
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#### 🔄 **Data Flow**
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1. **Ingestion:** Messages are fetched from Google Chat or Telegram data sources.
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2. **Sanitization:** Text is cleaned to remove PII, links, and noise.
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3. **Embedding:** Cleaned text is converted into vector embeddings using NLP models.
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4. **Storage:** Messages and embeddings are saved in PostgreSQL (pgvector).
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5. **Retrieval:** When a user queries, embeddings are generated and similar messages are retrieved for AI-generated answers.
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---
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## 🚀 **What makes it innovative?**
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1. **AI-Driven Retrieval:** Uses RAG to deliver context-aware, factual answers.
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2. **Tag-Based Access:** Organizes knowledge dynamically by topics or projects.
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3. **Automated Knowledge Capture:** Extracts insights directly from internal chats.
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4. **Privacy-First Design:** Sanitizes and anonymizes all data before storage.
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5. **Seamless Integration:** Connects with existing chat tools like Google Chat and Telegram.
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---
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## 🛠️ **Technology Stack**
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53a11e Rushikesh Jagdale 2025-11-13 11:16:36 75
- **NLP/LLM:** gemini-2.0-flash
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- **Framework & Libraries:** LangChain
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- **Frontend:** React.js (dashboards, chatbot UI)
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- **Backend:** FastAPI (Python) + JWT auth
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- **Database:** PostgreSQL (pgvector)
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- **Integrations:** Telegram Bot API, Google Chat API
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- **Deployment:** Docker
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---
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## 🏗️ **Project Architecture**
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```mermaid
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graph LR
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A[📂 Data Sources → Chats, Docs, Code ] --> B[⚙️ Data Ingestion Pipelines → Remove PII, links, and noise]
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B --> C[🗄️ Knowledge Store → Postgres + pgvector]
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C --> D[🤖 AI Services Layer, LLM Q&A - LangChain]
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D --> E[💻 Client Interfaces, Web Dashboards - React, Chatbot ]
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```
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## 🧩 **Challenges & Learnings**
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To be added during development phase
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---
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## 📅 **Future Roadmap**
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- **Short-term (MVP):**
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1. **Employee & Admin Roles:** Secure login with role-based access (RBAC).
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2. **Tag Management:** Admins can create, update, and assign tags to employees.
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3. **Data Source Integration:** Configure Telegram or Google Chat groups as data sources.
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4. **Message Ingestion:** NLP worker cleans and stores messages with embeddings.
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5. **AI Chatbot (RAG):** Employees query data and get contextual, AI-generated answers.
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6. **Dashboards:**
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- **Employee Dashboard:** Profile and chatbot view.
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- **Admin Dashboard:** Manage users, tags, and data sources.
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7. **Dockerized Setup:** Complete stack deployable via Docker Compose.
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- **Medium-term:** To be added
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- **Long-term:** To be added
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---
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## 📂 **Repository & Demo**
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a46bab Rushikesh Jagdale 2025-11-13 03:11:32 120
- **GitHub Repository:** [https://gitlab.enovate-it.com/pk278/skillshift.git/](https://gitlab.enovate-it.com/pk278/skillshift.git/)
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- **Live Demo:** 🔜 Coming Soon
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---
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## 📸 **Screenshots / Demo Video**
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🔜 Will be shared in next milestone
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---
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## 🏷️ **Categories**
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d26704 Prashant Kumar 2025-10-16 04:35:46 133
#project #ai-hackathon-2025