V Sravya Reddy
Team Lead · Product & Coordination
Led the overall concept, aligned the problem statement with hackathon goals and coordinated delivery across all modules.
Bridge the gap between college classrooms and industry‑ready skills.
EduBridge AI is an accessible learning companion for Indian engineering students and teachers. It explains tough concepts in local languages, detects learning gaps through smart quizzes, and gives teachers real‑time insight without extra workload.
Core challenges and how EduBridge responds
- Language & culture: Topic explanations adapt to English, Tamil, Telugu or Hindi context instead of being direct translations.
- Access & disability: Speech input/output and high‑contrast, dyslexia‑friendly UI help students who struggle with long text.
- Teacher overload: Quiz data is auto‑aggregated into simple risk and confusion signals.
- Career mismatch: Study plans and guidance connect subjects to concrete job roles.
How EduBridge AI works
Students talk or type their doubts, receive simple contextual explanations, and practise quick quizzes. The platform quietly tracks patterns and surfaces them to teachers as clear, visual signals.
For students
- Topic explanations tuned to local language context.
- Short, daily micro‑goals instead of long, stressful plans.
- Career hints connected to what they are already studying.
For teachers
- Confusion hotspots per topic and batch.
- Early warning on students drifting towards risk.
- Evidence to adjust pacing before internal exams.
Project team (preview)
A small, focused team combining product, AI and engineering to ship EduBridge AI as a usable prototype.
Shameena Shaik
AI Logic & Learning Design
Shaped the mock AI behaviour for explanations, quizzes and study plans, keeping language and pedagogy student-friendly.
Likhitha Practuru
Frontend Experience & Accessibility
Implemented the key screens in Next.js, refined accessibility features and ensured the UI works well on mobile and desktop.
Vijaya Bharathi
Quality, Testing & Documentation
Verified flows end to end, validated speech and quiz behaviour, and contributed to documentation and demo readiness.