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Link to open source: https://github.com/Adityasri05/ShikshaMitra-AI
ShikshaMitra AI – Complete Project Description
ShikshaMitra AI is an AI-powered vernacular education platform designed specifically for UP Board students studying in Hindi-medium and regional dialect environments like Awadhi and Bhojpuri. The platform aims to bridge the gap between rural students and quality coaching by providing a personalized AI tutor that adapts to each student’s learning pace, language preference, and academic weaknesses.
Millions of students across Uttar Pradesh prepare for board exams without access to experienced teachers, proper guidance, or affordable coaching institutes. Most existing edtech platforms are English-focused, internet-heavy, and designed for urban students, making them difficult to use for Hindi-medium learners. ShikshaMitra AI solves this challenge by creating a localized, voice-enabled, AI-driven learning ecosystem built for Bharat.
The platform uses advanced Artificial Intelligence, Natural Language Processing, speech recognition, and adaptive learning technologies to deliver personalized education in Hindi, Hinglish, and regional dialects. Students can ask doubts through voice or text, upload notebook or textbook images, and receive simple step-by-step explanations in their preferred language. The AI tutor behaves like a real coaching teacher by continuously analyzing student performance and identifying learning gaps.
One of the key features of the platform is its Learning Gap Detection Engine, which tracks student mistakes, weak subjects, time spent on topics, and confidence levels. Based on this analysis, the system generates adaptive quizzes, personalized revision plans, and AI-recommended practice questions from previous year UP Board papers. This helps students focus more on weak areas instead of following generic study methods.
The platform also includes a Voice-Based AI Tutor that supports conversational learning for students who are more comfortable speaking than typing. Through speech-to-text and text-to-speech technologies, students can interact with the AI tutor naturally in Hindi or Awadhi. The tutor can explain concepts multiple times, simplify difficult topics, generate examples, and motivate students during preparation.
Another important component is the Previous Year Paper Intelligence System, which analyzes UP Board question papers to identify repeated patterns, high-weightage chapters, and important exam questions. The AI can generate expected questions, mock tests, and exam-oriented revision sheets to improve student performance.
ShikshaMitra AI also provides:
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AI-generated study planners
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Exam countdown strategies
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Personalized revision schedules
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Gamified learning with XP, streaks, and badges
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Parent progress tracking dashboards
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Teacher analytics dashboards
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Offline learning support for low-internet regions
The platform is designed as a multi-agent AI system where different AI agents handle tutoring, diagnostics, quiz generation, motivation, translation, and exam strategy planning. This makes the system highly intelligent, scalable, and adaptive.
Technically, the project combines:
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Large Language Models (LLMs)
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Retrieval-Augmented Generation (RAG)
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Vector Databases
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Speech AI
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OCR/Image Understanding
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Real-time Analytics
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Adaptive Recommendation Systems
The project’s primary mission is to democratize quality education and provide every UP Board student with access to an affordable personal AI teacher, regardless of location, language, or financial background.
One-Line Vision
“An AI-powered personal coaching teacher for every Hindi-medium student in Bharat.”
This build was uploaded as a hackathon project





