MIT-ADT AI Grand Challenge 2026

Problem Statements in Healthcare Theme

Healthcare-1. AI Model for Early Disease Prediction (Diabetes, Hypertension, Anemia)

Healthcare-2. Multilingual AI Chatbot for Medical Guidance + Hospital Navigation

Healthcare-3. AI System to Detect Malnutrition (Growth Data / Image-Based)

Problem Statements in Fintech Theme

FinTech-1. AI Model for Fraudulent Transaction Detection (Real-time)

FinTech-2. Loan Default Risk Prediction System

FinTech-3. Fraudulent Insurance Claim Detection

Problem Statements in Agriculture Theme

Agri-1. AI Pipeline for Crop Disease Detection using Drone Imagery

Agri-2. AI-Based Smart Irrigation System (Dynamic Water Optimization)

Agri-3. Vision-Based Weed Detection with Targeted Spraying

About the Challenge:

• The National Level AI Grand Challenge 2026 is a premier innovation platform designed to bring together students from across India to solve real-world problems using Artificial Intelligence (AI).
• This challenge aims to foster creativity, interdisciplinary collaboration, and practical implementation of AI-driven solutions in three domains: Agriculture, Healthcare and FinTech.
• Participants will get an opportunity to work on impactful problem statements, interact with experts, and showcase their innovations to academicians, industry leaders, and investors.

Objectives:

• Promote innovation in Artificial Intelligence and Data Science
• Solve real-world Health, Agriculture and Fintech challenges of Bharat
• Encourage interdisciplinary teamwork
• Provide exposure to industry mentorship and evaluation
• Identify scalable and impactful AI solutions

Who Can Participate:

• Undergraduate & Postgraduate students

Team Structure:

• Each team must have 5 members
• Interdisciplinary teams are encouraged
• One member must be designated as the Team Leader

Themes (Indicative)

• AI in Agriculture
• AI in Healthcare
• AI in FinTech

Challenge Structure:

Phase 1: Registration & Idea PPT Submission (25th March to 1st April 2026)

Phase 2: Screening & Shortlisting (2nd - 7th April 2026)

• Evaluation based on innovation, feasibility, and relevance
• Shortlisting of top teams for the next round

Phase 3: Mentoring & Prototype Development (8th - 16th April 2026)

• Guided mentorship sessions
• Development of a working prototype/model

Phase 4: Grand Finale (Hackathon/Demo Day) (17th April 2026)

• Final presentation and live demonstration
• Evaluation by an expert jury

Evaluation Criteria:

• Innovation & originality
• Technical feasibility
• Use of AI/ML techniques
• Impact & scalability
• Presentation & demonstration

General Guidelines:

• Teams must register within the deadline
• All submissions must be original work
• Use of open-source tools and datasets is allowed (with proper citation)
• Teams must adhere to ethical AI practices
• Participants should carry valid ID cards during the event
• The decision of the jury will be final and binding

Rules & Regulations:

• Plagiarism will lead to immediate disqualification
• Teams must not change members after registration (without approval)
• Any misconduct or unfair means will result in disqualification
• Intellectual Property (IP) rights will remain with participants; however, organizers may use project details for promotional purposes
• Teams must comply with timelines for each phase
• Hardware requirements (if any) must be managed by the participants.
• Accommodation can be provided on request up to 7 days.

Deliverables:

• Problem Statement & Abstract
• PPT Presentation
• Working Prototype / Model /code
• Final Report 

Awards & Recognition:

• Cash prize of Rs. 1 Lac to the winner for each problem statement
• Certificates for all participants