VidhyaSarathi – Aptitude-Based Career & Stream Explorer

VidhyaSarathi is a career guidance prototype that helps students explore academic streams based on aptitude, not just interest or marks.

Unlike traditional career guidance systems that only recommend streams, VidhyaSarathi focuses on Stream Exploration by allowing students to experience realistic scenarios from different streams before making a decision.

mvp link : https://studio-rust-eta.vercel.app

🚀 Problem Statement

Many students choose academic streams based on:

• Peer pressure
• Marks alone
• Limited awareness of what a stream actually involves

This often leads to:

• Mismatch between student abilities and chosen stream
• Stress, lack of motivation, and dropouts

VidhyaSarathi addresses this gap by combining aptitude evaluation with scenario-based exploration.

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💡 What Makes This Project Unique

✔ Focuses on experience, not just advice
✔ Uses aptitude data, not preferences alone
✔ Generates AI-powered stream scenarios
✔ Designed for students, parents, and educators

The goal is not to tell students what to choose, but to help them understand what they are choosing.

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🧠 How It Works (Simple Flow)

1. Student enters their name
2. Aptitude quiz evaluates:
   • Problem Solving
   • Logical Reasoning
   • Verbal Communication
3. System calculates:
   • Aptitude strengths
   • Stream confidence levels
4. Student selects a stream
5. AI generates a real-life scenario describing:
   • Environment
   • Tasks
   • Pressure situations
6. Student can explore multiple streams and restart anytime

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📊 Core Features

• Aptitude-based assessment
• Stream confidence meter
• AI-generated stream exploration scenarios
• Restart / exit journey option
• Clean and simple UI for demos
• A small forum which collects the intrest of the user

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🛠️ Tech Stack

• React + TypeScript
• Firebase (Authentication & Database – optional for demo)
• Gemini API (AI scenario generation)
• Google Maps API (optional – nearby opportunities)

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