Welcome to the official repository for the Thapar Institute of Engineering & Technology’s Summer Program focused on Machine Learning, Deep Learning, and Full-Stack Web Development.
This comprehensive bootcamp is designed to empower students with real-world industry-ready skills in AI, Data Science, and Web Technologies, combining both theoretical concepts and practical implementation.
Over the span of this immersive program, participants gain a strong foundation and hands-on experience across:
- Python programming and problem-solving
- Core Machine Learning and Optimization techniques
- Full-Stack Web Development (MERN + Django + Next.js)
- Deep Learning for Computer Vision and NLP
- Time Series Analysis and EDA
- IoT & Cloud Integration
- Generative AI
Dive into programming logic and data manipulation.
- Python Fundamentals & Data Types
- Object-Oriented Programming (OOPs)
- Problem Solving Techniques
- Libraries:
Pandas,NumPy,SciPy
Understand data patterns and build predictive models.
- Core ML Algorithms: Linear Regression, Decision Trees, SVMs, etc.
- Loss Functions & Optimization Techniques (e.g., Gradient Descent)
- Probability, Distributions & Statistical Metrics
- Exploratory Data Analysis (EDA) with
Matplotlib,Seaborn
Learn the building blocks of interactive web applications.
- HTML5, CSS3, Bootstrap
- JavaScript Fundamentals
- Introduction to ReactJS
- Backend with Express.js
- Database operations using MongoDB
Deploy real-time full-stack and AI-powered applications.
- Advanced React & Next.js
- Backend with Django
- RESTful API Development
- Hosting & Deployment (Netlify, Vercel, Heroku, etc.)
- CRUD Operations and Authentication Workflows
- ML Model Integration with Web Interfaces
Explore neural networks for advanced AI tasks.
- CNNs for Image Classification & Object Detection
- RNNs and Transformers for NLP
- Libraries:
TensorFlow,Keras,PyTorch,OpenCV,NLTK,spaCy
Work with modern, cutting-edge tech stacks.
- Time Series Forecasting with ARIMA, LSTM
- IoT Concepts with Arduino/Raspberry Pi
- Edge AI using ESP32, Jetson Nano
- AWS/GCP Cloud Integration
- Basics of Generative AI (GANs, Diffusion Models, Prompt Engineering)
- 🏅 Valedictory Ceremony
- 📜 Certificate Distribution
- 💬 Networking & Feedback
| Category | Tools/Libraries |
|---|---|
| Programming | Python, JavaScript |
| Data Science | Pandas, NumPy, SciPy, Matplotlib, Seaborn |
| ML/DL Frameworks | Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, spaCy, NLTK |
| Web Frontend | HTML, CSS, Bootstrap, ReactJS, Next.js |
| Web Backend | Express.js, Node.js, Django |
| Databases | MongoDB, PostgreSQL |
| DevOps/Hosting | GitHub, Heroku, Netlify, Vercel |
| IoT & Cloud | ESP32, Jetson Nano, Arduino, AWS, GCP |
If you're a student or instructor who wants to contribute:
# Clone this repo
git clone https://github.com/your-username/thapar-ml-summer-program.git
cd thapar-ml-summer-program
# Install dependencies (example for Python environment)
pip install -r requirements.txt