diff --git a/.manus/db/db-query-1774834216959.json b/.manus/db/db-query-1774834216959.json index e150323..fb47cf1 100644 --- a/.manus/db/db-query-1774834216959.json +++ b/.manus/db/db-query-1774834216959.json @@ -6,4 +6,4 @@ "stdout": "", "stderr": "", "execution_time_ms": 10273 -} \ No newline at end of file +} diff --git a/AI_CURRICULUM_DESIGN.md b/AI_CURRICULUM_DESIGN.md index fae6f42..d137cd6 100644 --- a/AI_CURRICULUM_DESIGN.md +++ b/AI_CURRICULUM_DESIGN.md @@ -8,12 +8,12 @@ This document outlines the theoretical framework and algorithmic logic for the A SprintWork follows a research-backed 4-stage framework for career development: -| Stage | Goal | AI Feature | -|---|---|---| +| Stage | Goal | AI Feature | +| ----------- | ------------------------------------ | --------------------------------------- | | **Explore** | Identify career paths and skill gaps | Smart Job Matching & Skill Gap Analysis | -| **Build** | Create professional assets | AI CV Tailoring & Resume Builder | -| **Connect** | Build professional network | Networking Hub & Recruiter Matching | -| **Refine** | Master interview and soft skills | AI Mock Interviews & Scoring | +| **Build** | Create professional assets | AI CV Tailoring & Resume Builder | +| **Connect** | Build professional network | Networking Hub & Recruiter Matching | +| **Refine** | Master interview and soft skills | AI Mock Interviews & Scoring | --- @@ -22,6 +22,7 @@ SprintWork follows a research-backed 4-stage framework for career development: The interview curriculum is divided into four specialized tracks, each with a structured progression: ### A. Behavioral Track (STAR Method) + - **Focus:** Soft skills, leadership, conflict resolution. - **Curriculum:** 1. **Foundations:** Introduction to the STAR method. @@ -31,6 +32,7 @@ The interview curriculum is divided into four specialized tracks, each with a st - **Algorithm:** AI evaluates responses based on the presence of **Situation, Task, Action, and Result** components. ### B. Technical Track (DSA & System Design) + - **Focus:** Problem-solving, coding proficiency, architecture. - **Curriculum:** 1. **Data Structures:** Arrays, Linked Lists, Trees, Graphs. @@ -39,6 +41,7 @@ The interview curriculum is divided into four specialized tracks, each with a st - **Algorithm:** AI checks for technical accuracy, time/space complexity analysis, and edge case handling. ### C. Case Study Track + - **Focus:** Analytical thinking, business logic. - **Curriculum:** 1. **Market Entry:** Analyzing new business opportunities. @@ -50,6 +53,7 @@ The interview curriculum is divided into four specialized tracks, each with a st ## 3. Core Algorithms ### A. Smart Job Matching Algorithm (Hybrid Approach) + The matching score ($S$) is calculated as a weighted sum of multiple factors: $$S = w_1 \cdot S_{skills} + w_2 \cdot S_{experience} + w_3 \cdot S_{location} + w_4 \cdot S_{salary}$$ @@ -60,6 +64,7 @@ $$S = w_1 \cdot S_{skills} + w_2 \cdot S_{experience} + w_3 \cdot S_{location} + - **$S_{salary}$:** Overlap between user expectations and job budget. ### B. AI CV Tailoring Algorithm + 1. **Extraction:** Use LLM to extract key requirements (Skills, Keywords, Responsibilities) from a job description. 2. **Analysis:** Compare extracted keywords with the user's current resume. 3. **Optimization:** @@ -68,6 +73,7 @@ $$S = w_1 \cdot S_{skills} + w_2 \cdot S_{experience} + w_3 \cdot S_{location} + - **Quantification:** Prompt user to add metrics (e.g., "Increased sales by 20%"). ### C. Interview Scoring Rubric (0-100) + - **Content (40%):** Accuracy, relevance, and depth of the answer. - **Structure (30%):** Use of STAR method or logical flow. - **Communication (20%):** Clarity, tone, and professional language. diff --git a/client/index.html b/client/index.html index 27876de..e8b97c4 100644 --- a/client/index.html +++ b/client/index.html @@ -1,11 +1,11 @@ -
+ content="width=device-width, initial-scale=1.0, maximum-scale=1" + />