VisionNest

Project Title: VisionNest

Tagline: Your AI-powered career growth companion — from skill building to interview prep, all in one place.

Problem Statement

Students and early-career professionals face a fragmented career preparation experience. Interview practice, skill assessment, and learning planning are scattered across dozens of tools with no personalized guidance tying it all together. Most people don't know where to start — or how to measure their progress.

Target Users

Undergraduate students and recent graduates preparing to enter the job market.

Key Features

AI Interview Coach — Conversational mock interview practice with real-time feedback tailored to a specific target company and the user's own resume Skill Builder — Generates practice questions across multiple formats (multiple choice, short answer, coding) on any topic, then scores and explains each answer using AI AI Career Roadmap — Takes a career goal and current skill level, runs a placement quiz, then generates a personalized week-by-week learning plan with curated resources and project ideas Progress Dashboard — Tracks skill session history, scores over time, study streaks, and upcoming goals Calendar & Goal Planner — Built-in study session planning tied to the user's roadmap Secure Authentication — JWT-based login with protected routes and session management How It Works

User signs up and enters a career goal AI assesses their current skill level through a short quiz A personalized roadmap is generated with weekly topics, resources, and hands-on projects User practices interviews and builds knowledge through dedicated AI-powered modules All progress is saved and visualized on the personal dashboard Role of AI

AI is central to every core feature — not just a add-on. It powers the interview coaching conversation, generates and evaluates skill assessments, creates fully personalized learning roadmaps based on quiz results, and provides detailed feedback on user responses.

Technologies Used

Frontend: Next.js, React, TypeScript, Tailwind CSS, Framer Motion Backend: FastAPI, Python, SQLAlchemy, PostgreSQL AI: Google Gemini API, Groq (LLaMA 3.3-70B) Infrastructure: Docker, Docker Compose, JWT Auth Challenges Faced

Integrating multiple AI modules into a single cohesive experience without performance bottlenecks Designing a skill assessment system that feeds meaningfully into roadmap personalization Building a responsive, polished UI under tight time constraints while keeping the backend stable Future Improvements

Resume builder with AI feedback and ATS optimization Mentor matching and community features Mobile app Job listing integration with personalized application tracking

Built With

• docker-compose
• fastapi
• framer-motion-backend:-fastapi
• frontend:-next.js
• groq-(llama-3.3-70b)-infrastructure:-docker
• jwt
• nextjs
• postgresql-ai:-google-gemini-api
• python
• react
• sqlalchemy
• tailwind-css
• typescript