The following PROJECTS Assigned to students. Evaluation done for 100 marks. Students are formed as teams for execution of projects,
1. House Price Predictor using Keras and TensorFlow
Evaluation Focus
•Use of regression with 2D numerical data
•Model performance visualization (loss curve)
2. Image-Based Digit Classifier using CNN (MNIST)
Evaluation Focus
•Tensor reshaping and normalization
•Use of Keras Sequential model and Conv2D
3. Binary Emotion Detector from Text using Keras
Evaluation Focus
•Preprocessing: tokenization, padding
•Binary classification (positive/negative)
4. AI Stock Market Trend Classifier (Up/Down Prediction)
Evaluation Focus
•Tabular time-series like data
•Use of metrics like accuracy and confusion matrix
5. Object Detection Lite using Pretrained Models in TensorFlow
Evaluation Focus
•Use of MobileNet or VGG
•Fine-tuning on limited images or test data
Criteria Marks
Project Functionality 30
GitHub Maintenance 20
Model Design + Data + Evaluation 30
Viva Questions 20
Total Marks 100
Outcome: Students gained Hands on session in Basics of TensorFlow.
KPRIET – An AI Integrated Campus
Preparing future-ready engineers with AI-integrated teaching and learning. KPRIET integrates Artificial Intelligence across teaching, learning, research and innovation to create a smarter, future-ready campus experience for students and faculty.