Build a Bluetooth Low Energy controlled car using ESP32, L298N motor driver, and a custom BLE app. Covers motor control, BLE GATT services, and basic chassis assembly.
Design a capacitive soil moisture sensor node that pushes readings to the cloud via Wi-Fi, with a simple dashboard for plant health monitoring.
Simulate a multi-floor elevator system using Arduino, IR sensors, and the SCAN scheduling algorithm. Includes L298N-driven lift motion and floor request logic.
Build an Android attendance system using ML Kit and TensorFlow Lite (MobileFaceNet) with a Node.js/Express + MySQL backend for attendance logging.
Develop a deep learning model to classify images into predefined categories using a Convolutional Neural Network (CNN). Perform dataset preprocessing, model training, evaluation, and prediction using TensorFlow/Keras or PyTorch.
Build a text classification model to identify fake and genuine news articles using Natural Language Processing (NLP). Apply TF-IDF/Count Vectorizer with classifiers such as Logistic Regression, Naive Bayes, or Random Forest.
Create a predictive model to estimate students' academic performance based on attendance, study hours, previous grades, and other factors. Perform data preprocessing, feature engineering, model training, and evaluation.
Design an intelligent chatbot capable of answering user queries using Natural Language Processing techniques. Implement intent recognition, response generation, and a simple graphical or web interface using libraries such as NLTK, spaCy, or Transformers.
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