Project Group details
Member 1: Omkar Bandikatte Branch: SY CSE[DS] Sap Id: 60009230009 Division: D2
Member 2: Moksh Jain Branch: SY CSE[DS] Sap Id: 60009240022 Division: D2
Member 3: Shruti Kudtarkar Branch: SY CSE[DS] Sap Id: 60009240043 Division: D1
Member 4: Minit Chitroda Branch: SY CSE[DS] Sap Id: 60009240020 Division: D2
Member 5: Harsh Chitaliya Branch: TE AI&DS Sap Id: 60018220029 Division: S
Member 6: Deep Jain Branch: TE AI&DS Sap Id: 60018220118 Division: S
Member 7: Yash Buddhadev Branch: TE AI&DS Sap Id: 60018220122 Division: S
Member 8: Satyavrat Tiwari Branch: TE AI&DS Sap Id: 60018220063 Division: S
Project Description: Disha-Edu: AI-Powered Career
and Education Guidance Platform
Title: Disha-Edu: AI-Powered Career and Education Guidance Platform
Objective: To empower Indian students with personalized, accessible, and data-driven guidance
for stream selection, university choices, and scholarships through an AI-powered conversational
platform, integrated into schools as a cost-effective counseling solution.
Disha-Edu combines the strengths of advanced AI recommendation systems and chatbot
technology to address the critical need for structured career and education guidance in India.
Targeting primarily 10th-12th grade students, it bridges the gap between early stream decisions
(Science, Commerce, Arts) and higher education planning, while also securing financial aid
opportunities. Designed as a B2B solution for schools, it reduces reliance on expensive counselors
or biased informal advice, aligning with CDAC’s mission to deliver scalable, equitable tech
solutions.
Problem Statement
Career Indecisiveness: Over 80% of Indian students benefit from career counseling, yet
40% lack access due to cost or availability (Indian Express, 2024).
Fragmented Guidance: Students rely on unstructured advice from family or generic
platforms, lacking personalized, data-driven insights.
Education Divide: Rural and underserved students face barriers in accessing university
and scholarship information in their native languages.
School Resource Gaps: Schools struggle to provide affordable, comprehensive counseling
tools tailored to diverse student needs.
Solution
Disha-Edu is an AI-driven platform that guides students seamlessly from stream selection after
10th grade to university admissions and scholarship applications. Delivered via a multilingual
chatbot, it offers interactive, personalized recommendations and integrates with existing
government and educational data sources (e.g., NIRF, NSP). The platform is offered as a B2B
service to schools, making it a scalable, cost-effective alternative to traditional counseling.
Key Features
1. Stream & Career Path Guidance
o Collects student inputs (interests, academic performance, aspirations) via
conversational prompts (e.g., “Do you enjoy problem-solving or creative tasks?”).
o Recommends Science, Commerce, or Arts streams with insights into career
prospects (e.g., “Commerce opens paths to finance or entrepreneurship”).
o Provides an interactive questionnaire to refine suggestions.
2. University & Course Recommendations
o Suggests universities and courses based on stream choice, grades, budget, and
location, leveraging rankings (e.g., NIRF) and admission data (e.g., CUET).
o Supplies key details: deadlines, entrance exams, and eligibility criteria.
o Scalable for 11th/12th graders planning higher education.
3. Scholarship Matching
o Matches students with merit-based, need-based, or category-specific scholarships
from portals like the National Scholarship Portal (NSP) and Buddy4Study.
o Offers concise, actionable tips for applications (e.g., “Emphasize your academic
achievements in this essay”).
o Updates students on deadlines via notifications.
4. Multilingual Chatbot
o Supports regional languages (e.g., Hindi, Tamil, Bengali) for inclusivity across
India’s diverse student population.
o Uses natural language processing (NLP) for intuitive, conversational interactions
(e.g., “What’s your budget?” → “Here are affordable options in Delhi”).
o Accessible via text or voice input for ease of use.
5. School Integration (B2B Model)
o Deployed as a plug-and-play tool for schools to enhance student support systems.
o Reduces dependency on external counselors, offering a cost-effective, scalable
solution.
o Aligns with educational institutions’ need for modern, tech-driven guidance.
Architecture
Technology Stack
Frontend (User Interface)
React/Next.js: Responsive, dynamic UI for student interaction with search tools and
chatbot.
Tailwind CSS: Modern, component-based design for a clean user experience.
Backend (Server-Side Logic)
Node.js or Django: Handles API requests, student data processing, and integration with
external databases.
AI/ML Components
Mixtral-8x7B or PyTorch: Powers recommendation engines for streams, universities,
and scholarships based on student profiles.
spaCy (NLP): Enables multilingual chatbot functionality and natural conversational
flow.
Collaborative Filtering: Suggests options based on patterns in student preferences and
performance.
Data Storage
MongoDB: Flexible storage for student profiles, career data, university details, and
scholarship records.
Redis: Caches frequently accessed data (e.g., deadlines, rankings) for faster retrieval.
Integrations
APIs:
o National Institutional Ranking Framework (NIRF) for university rankings.
o National Scholarship Portal (NSP) and Buddy4Study for scholarship data.
o Groq API for fast AI inference.
Notification Services: Twilio for SMS reminders about deadlines and updates.
Cloud & Hosting
Azure or AWS: Scalable hosting with robust security and AI service support.
Docker: Containerization for easy deployment across school systems.
Existing Methodologies Leveraged
Government Portals: NIRF (rankings), CUET (admissions), NSP (scholarships).
Competitors: Shiksha, Careers360, Mindler (inspiration for AI-driven recommendations,
but Disha-Edu focuses on school integration and multilingual access).
Educational Platforms: SWAYAM (career data), Buddy4Study (scholarship matching).
Unique Value Proposition
Holistic Guidance: Covers stream selection, university planning, and scholarships in one
platform, growing with students from 10th grade onward.
Accessibility: Multilingual chatbot ensures rural and diverse students can engage in their
native languages.
Cost-Effective: B2B model delivers affordable, high-impact counseling to schools,
democratizing access.
Data-Driven: Integrates government and industry data for accurate, up-to-date
recommendations.
Future Scope
Analytics Dashboard: Add-on for schools to monitor student engagement and outcomes.
Voice Expansion: Enhance voice input/output for low-literacy users.
Mobile App: Extend accessibility beyond school systems to individual students.
Advanced AI: Incorporate predictive analytics for long-term career success based on
trends.
