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AI Product
ResumeForgeAI.
Autonomous career intelligence ecosystem providing automated ATS optimization, voice-enabled mock interviews, and codebase-to-SRS documentation.
10FORGES / MODULES
Real-TimeVOICE FEEDBACK
Cross-PlatformWEB, iOS & ANDROID
Gemini AIMENTOR ENGINE
01 / Overview
Overview
ResumeForgeAI is an all-in-one AI-powered Career Intelligence Ecosystem designed to guide developers from learning to landing their dream jobs. The platform features a modular architecture comprising ten specialized "Forges" that manage resume optimization, technical interview practice, codebase documentation, and strategic job hunting. At its core, a centralized AI agent (MentorForge) tracks user progress, analyzes skill gaps, and calculates a dynamic "Career Readiness Score" to guide learning paths. Built on a modern stack including Next.js, Supabase, and Gemini AI, it delivers real-time voice feedback, automated database schema planning, and interactive coding environments. With native compilation via Capacitor, the entire system operates cross-platform across web, Android, and iOS, providing a premium, unified career acceleration suite.
02 / Architecture Specs
Technical Specifications
| Component | Technology / Tool | Description |
|---|---|---|
| Web Frontend | Next.js 14 (App Router), React 18, TypeScript | Provides a responsive client-side interface and server-side rendering (SSR). |
| Mobile Container | Ionic Capacitor 8.x | Packages the web bundle into native iOS and Android apps with cross-platform wrappers. |
| Backend-as-a-Service | Supabase (PostgreSQL with RLS) | Handles relational database state, Row-Level Security (RLS) policies, and auth. |
| Authentication | Supabase Auth, JWT Validation (via jose) | Secures client-server communication using OAuth and token-based validation. |
| Storage | Supabase Storage Buckets | Stores resume PDFs, user uploads, profile assets, and static media. |
| Caching & Limits | Upstash Redis & Upstash Ratelimit | Implements distributed rate-limiting and session caching at the Edge. |
| AI Engine | Google Gemini AI API (@google/generative-ai) | Orchestrates Resume optimization prompts, mock interview feedback, and code summarization. |
| Client-side OCR | Tesseract.js | Extracts raw text data from uploaded image/PDF resumes locally on the client. |
| Parsing Utilities | pdfjs-dist, pdf-parse, Mammoth | Extracts plain text from complex PDF and Word docx documents on server and client. |
| Document PDF Gen | jsPDF Client-side Rendering | Dynamically exports optimized, ATS-compliant resume layouts directly into PDFs. |
| Payment Gateway | Razorpay API integration | Processes premium subscription payments and handles payment hooks. |
| SMTP & Email | Brevo API Integration | Sends transactional emails, verification links, and weekly progress alerts. |
03 / Platform Modules
Core Features (The Forges)
01
📄 ResumeForge & InterviewForge
- ATS Resume Builder: Generates highly tailored resumes with instant keyword injection based on target JD parameters and evaluates them against custom ATS scoring algorithms.
- Voice Mock Interviews: Features browser-native real-time WebRTC audio streams to simulate technical and behavioral panel evaluations with smart scoring and analysis.
02
✨ ExplainForge & ProjectForge
- SRS Documentation Parser: Automatically scans code repositories, maps architectures, and compiles complete Software Requirement Specifications (SRS) with custom flowcharts.
- Project Blueprints: Generates step-by-step development roadmaps, SQL schema templates, and API route skeletons tailored to expand user portfolio project depth.
03
💻 CodingForge & MentorForge
- DSA Monaco Sandbox: Features an integrated browser coding environment with hints powered by Gemini AI that guide the logical steps without showing solutions.
- Global Progress Tracker: Evaluates aggregate metrics to calculate a dynamic Global Career Readiness Score, pointing out skill gaps and highlighting readiness indices.
04
🗺️ CareerForge & JobForge
- Linear Roadmaps: Designs targeted weekly learning schedules focused on acquiring missing technologies required by targeted job listings.
- Match Probabilities: Scans web job postings to evaluate profile-to-role match probability percentages and manages pipelines in an interactive Kanban board.
05
📖 KnowledgeForge & StudyForge
- System Design Wiki: Houses System Design tutorials, DSA guides, and DevOps templates, formatted with high-quality styling exportable directly to PDFs.
- Spaced-Repetition Engine: Summarizes target technical docs and compiles flashcards synced to a custom learning frequency algorithm.
04 / Systems Flow
Architecture & System Flow
System Interaction Diagram
Table 01
profiles
Handles core user account details, targets, learning achievements, and global readiness metrics.
Table 02
resume_templates
Stores multiple resume layouts, parsed files text, and customized keyword mapping tables.
Table 03
mock_interviews
Logs interactive audio transcripts, question streams, scoring metrics, and rubrics.
Table 04
learning_roadmaps
Maintains time-bound study goals, schedules, and active recall card indexes.
WebRTC Audio Streaming Sequence
- 1Context InitializationThe client browser initializes user audio inputs via
navigator.mediaDevices.getUserMedia. - 2Track NegotiationBrowser creates an
RTCPeerConnectionand binds the microphone track to exchange SDP signals with the serverless gateway. - 3Real-time Stream PipelineVoice data packets stream dynamically to the voice evaluation endpoint where they undergo instant Speech-to-Text conversion.
- 4Model AssessmentThe transcription logs are passed to Gemini AI to generate answers correctness, evaluation scores, and actionable feedback metrics.
- 5Database PersistenceThe resulting report and readiness indicators save to Supabase, triggering a realtime update on the MentorForge dashboard.