RankMentor
Project Overview
RankMentor is an AI-powered UPSC preparation platform designed to help civil service aspirants optimize their study approach through personalized learning paths, progress tracking, and community support. The platform combines psychology with technical expertise to create an effective study companion that adapts to each user's learning style and needs.
As a co-founder of RankMentor, Anandy Goel helped build this platform to address the challenges faced by UPSC aspirants, including information overload, lack of structured guidance, and difficulty in maintaining consistent study habits.
Key Features
Smart Study Planning
AI-powered study plans that adapt to your progress and learning style, providing personalized roadmaps for UPSC preparation.
Progress Tracking
Comprehensive analytics and insights to monitor preparation, including topic-wise performance analysis and strength/weakness tracking.
Smart Assessment
Analysis of learning style, study capacity, and current knowledge level to create a tailored preparation approach.
Community Support
Access to India's largest UPSC community with collaborative learning, 24/7 discussion forums, and an achievement system.
The Problem & Solution
UPSC preparation is notorious for its vast syllabus, unpredictable question patterns, and the mental resilience required to sustain long-term study efforts. Many aspirants struggle with:
- Creating effective study plans that cover the entire syllabus
- Adapting their preparation based on performance feedback
- Maintaining motivation through a lengthy preparation process
- Finding reliable guidance and support during their journey
RankMentor addresses these challenges by:
- Using AI to create personalized study plans tailored to individual learning styles
- Providing detailed analytics to identify strengths and areas for improvement
- Offering a supportive community of fellow aspirants and successful candidates
- Combining psychological principles with educational technology to optimize learning
Technology Stack
- Frontend: React.js with Next.js for server-side rendering
- Backend: Node.js with Express for API development
- Database: MongoDB for flexible data storage
- AI Components: Machine learning models for personalized recommendations
- Analytics: Custom-built tracking and visualization tools
- Authentication: JWT-based secure user management