Computer Science project 1: Campus Placement Predictor with Explainable Machine Learning
Train and compare several classifiers and explain each prediction in simple language, so a student knows what...
View project and guideProjects / Computer Science / Computer Science project 35
Approx. component budget: Rs. 0 - 3,000
Build a private assistant that runs on a laptop or Raspberry Pi and measure how well it understands Indian accents.
A voice assistant that understands simple commands in Hindi and English such as time, notes, music and device control, and works without internet.
Speech recognition, intent detection, text-to-speech, and limits of on-device models.
Python, Vosk or Whisper (small), PyAudio, rule-based or small ML intent classifier, pyttsx3. Mention that always-on microphones need clear user consent.
Replace [x] with your own measured results. Write only what you really did.
The short guide for this project is prepared when you ask for it. Message us on WhatsApp and we will prepare it and tell you when it is ready.
Payment details are shared in the chat. We send the PDF on WhatsApp after your payment is confirmed.
Train and compare several classifiers and explain each prediction in simple language, so a student knows what...
View project and guideBuild a baseline with TF-IDF and then a transformer model, and measure how much the better model improves resu...
View project and guideTrain a convolutional neural network with transfer learning on a public leaf dataset and test how well it work...
View project and guide