Update README.md

README.md

@@ -1,99 +1,9 @@
-# SkillForge AI
-
-> **From resume claims to real capability.**
-
-A next-generation AI agent that takes a Job Description and a candidate's resume, conversationally assesses real proficiency on each required skill, identifies gaps, and generates a personalised learning plan focused on adjacent skills the candidate can realistically acquire — with curated resources and time estimates.
-
-No simple keyword matching. No generic RAG. Pure **Knowledge Graph traversal** + **multi-agent real-time conversation**.
-
 ---
-
-## ⚡ Architecture & Tech Stack
-
-SkillForge AI is built as a full-stack monorepo featuring a powerful Python/AI backend and a blazing fast Next.js frontend.
-
-### Backend (AI & Logic)
-- **Framework:** FastAPI
-- **Agent Orchestration:** LangGraph (Multi-agent state machines)
-- **LLM Engine:** LangChain + Groq (`llama-3.3-70b-versatile`) for lightning-fast inference
-- **Knowledge Graph:** NetworkX (Directed graphs with custom edge weights)
-- **PDF Processing:** `pdfplumber` for clean JD/Resume extraction
-
-### Frontend (User Interface)
-- **Framework:** Next.js 14 (App Router)
-- **Styling:** Tailwind CSS + Enterprise Light Theme
-- **State Management:** Zustand
-- **Streaming:** Server-Sent Events (SSE) via native Web API `EventSource`
-
----
-
-## 🧠 How it Works
-
-1. **Extraction (`extractor.py`):** An LLM extracts structured capabilities from the candidate's resume and the target job description.
-2. **Gap Analysis (`claim_vs_reality.py`):** Cross-references resume claims against job requirements to flag high-priority gaps.
-3. **Conversational Assessment (`interviewer.py` & `scorer.py`):** The agent engages the candidate in a dynamic, progressive Q&A to verify actual competency rather than just stated experience.
-4. **Targeted Challenges (`challenger.py`):** For intermediate/senior skills, the agent generates grounded "find-the-bug" style micro-challenges.
-5. **Roadmap Generation (`roadmap_generator.py` & `roadmap_builder.py`):** The Knowledge Graph engine calculates the shortest learning path. A dedicated AI Roadmap Builder then synthesizes the candidate's exact performance scores and target domain to generate a custom 3-tier weekly syllabus, complete with personalized mini-projects and rationales.
-
----
-
-## 🚀 Running Locally
-
-### 1. Start the FastAPI Backend
-You will need a [Groq API Key](https://console.groq.com/keys) to run the LLM models.
-
-```bash
-cd backend
-python -m venv venv
-
-# Windows
-.\venv\Scripts\Activate.ps1
-# Mac/Linux
-source venv/bin/activate
-
-pip install -r requirements.txt
-
-# Set up your environment variables
-cp .env.example .env
-# Edit .env and add your GROQ_API_KEY
-
-uvicorn main:app --reload --port 8000
-```
-*The backend API will be running at `http://localhost:8000`*
-
-### 2. Start the Next.js Frontend
-In a new terminal window:
-
-```bash
-cd frontend
-npm install
-
-# Ensure your local environment is pointing to the backend
-cp .env.local.example .env.local
-
-npm run dev
-```
-*The frontend will be running at `http://localhost:3000`*
-
----
-
-## 📂 Repository Structure
-
-```text
-skillforge-ai/
-├── backend/                  # Python FastAPI Backend
-│   ├── agents/               # LangChain/Groq agent definitions
-│   ├── data/                 # Sample JDs and Resumes
-│   ├── graph_pipeline/       # LangGraph state machine & nodes
-│   ├── knowledge_graph/      # NetworkX implementation & static graph JSON
-│   ├── models/               # Pydantic data schemas
-│   ├── output/               # Roadmap synthesis logic
-│   ├── routers/              # FastAPI endpoints (Upload, Assess, Roadmap)
-│   └── scoring/              # Algorithmic mismatch and gap scoring
-│
-└── frontend/                 # Next.js 14 Frontend
-    ├── app/                  # Next.js App Router pages
-    ├── components/           # React components (Upload, Assessment, Results)
-    ├── hooks/                # Custom React hooks (e.g. SSE streaming)
-    └── lib/                  # API clients, Zustand store, and TS Types
-```
+title: SkillForge
+emoji: 🛠️
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+pinned: false
+short_description: From resume claims to real capability.
+---