Developers: Vatshal Mehta, Himakshi Arora, Khushi Gupta.

Description: This project develops a multilingual, syllabus-based LLM that generates exam-type questions and answers with native-language explanations.

Developers: Kajal Rathod, Sakshi Dhuri, Riya Birnale.

Description: An LLM-powered advisory system that suggests courses, colleges, and bridge programs with filters like location, fees, and eligibility.

Developers: Smit Karelia, Molisha Jain, Sayali Jadhav, Vrundha Parekh, Harish Jalani

Description: An AI assistant that gives quick hospital details, diagnostic info, and personalized health scheme recommendations with multilingual support.

Developers: Heer Panchal, Kinjal Panchal, Jhalak Dedhia, Adrita Banerjee, Aniruddh Sengupta

Description: This system will help aspirants save time, practice efficiently, and focus on areas of improvement, making preparation smarter, personalized, and more effective compared to conventional methods.

Developers: Prasad D. Devkar, Aastha Bhatt, Mahiman Dave

Description: Fingerprint extraction and analysis from hospital forms using SAM + TDA. Minutiae and persistence barcodes enable similarity matching, improving biometric identification for healthcare data.

Developers: Ashika Jain, Bhargavi Joshi, Sravan Kotta, Namitha Prakash, Aryan Ilake, Shreyas Konidala

Description: Automated answer-sheet evaluation and ranking using Gemini 1.5 Pro for OCR and scoring. Provides consistent, objective results while reducing human error and bias.