Summer AI Internship 2025 @ Mirai School of Technology

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Engineer your future with AI

Internship Structure

  • Duration: 6 Weeks

  • Mode of Internship: Hybrid (Live Online Sessions + Self-paced)

  • Weekly Time Commitment: ~6–8 hours/week

  • Who Can Apply: B.Tech 1st / 2nd / 3rd / 4th year students [All Branches]

What This Internship Offers You

This internship is designed to give students hands-on experience with cutting-edge AI tools and technologies—shaping them for the jobs of tomorrow. Upon successful completion and project submission, students will be awarded a certificate from MSOT.

What You’ll Learn & Build

By the end of the internship, all interns will have gained job-ready skills to thrive in the AI era.

  • Launch a working AI-powered webpage in just 10 minutes using tools like Streamlit or Gradio

  • Work seamlessly with 10+ Industry relevant AI powered tools like Cursor, Lovable, etc

  • Build projects like facial recognition or image classification - from scratch without prior coding experience

  • Get hands-on by training and deploying an ML model using real-life datasets

  • Create personalized AI assistant chatbots for your day-to-day activities

  • Develop 50+ slide presentation in just 30 mins using tools like Gamma

  • Code your applications with AI with tools like Github Copilot, Replit etc

Exclusive Perks

  • Letter of recommendation along with internship completion certificate

  • Access to exclusive placement opportunities with top tech companies

  • Chance to earn 1L seed funding for your own venture

Detailed Weekly Plan

Week

Core Lecture Topic

Tool Introduced

AI Expert Session

1

Introduction to AI & Python Basics

Jupyter Notebook / Google Colab

AI in Healthcare

2

Data Preprocessing & Visualization

Pandas

AI in Computer Vision

3

Machine Learning Fundamentals

Scikit-learn

NLP Applications in Chatbots

4

Deep Learning Basics & Neural Nets

TensorFlow

AI for Autonomous Vehicles

5

Model Deployment & APIs

Streamlit

Edge AI & IoT

6

Project Integration & Demo Prep

GitHub & Version Control

AI Ethics and Responsible AI

Sample Internship Tracks / Product Offerings

Along with their regular AI learning schedule, students will work in parallel on their individual projects on one of the following AI tracks:

Track A: AI for Social Good

  • Project: Disaster detection using satellite images, fake news detection, etc.

Track B: Generative AI & LLMs

  • Project: Building AI content bots, chat assistants using open-source LLMs

Track C: AI in Business

  • Project: Sales prediction models, customer churn prediction, AI for ops

Track D: Computer Vision

  • Project: Face detection, gesture tracking, image classification

Selection Process

Eligibility:

  • Open to B.Tech students from any branch and any academic year.

  • Strong interest in AI and tech (having a portfolio, GitHub projects, or involvement in tech events is an advantage)

Steps for applying for internship:

  1. Application Form - Fill out a detailed application form with a short video

  2. Selection - Selected students will get offer letter to start their internship

Important Timelines

  • Internship Start: July 1, 2025

  • Internship End: August 14, 2025