Chirp: Birdsong Recognition

Hybrid, Hybrid, IIT Kanpur, 208016

Indian Institute of Technology - Kanpur, India

Birdsong recognition plays a crucial role in various fields, from ecological research to wildlife monitoring. The ’Chirp’ project aims to develop an efficient and accurate bird call recognition system using machine learning techniques. The primary goal is to enable the identification of bird species based on their unique vocalizations.

Dec 10, 2023, 8:43 PM – Jan 19, 2024, 8:43 PM

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Key Themes

Explore MLKaggleML Study JamMachine LearningOpen SourceSolution ChallengeTensorFlow / Keras

About this event

Week 1:

  • Day 1: Introduction to NumPy, the scientific computing library of Python.
  • Day 2: Introduction to Pandas, the data analysis library of Python.
  • Day 3: Reading on various different types of possible plots and introduction to Matlotlib and Seaborn, visualization libraries of Python.
  • Days 4 and 5: Cleaning, preprocessing and EDA of a practice CSV file.
  • Days 6 and 7: Addressing doubts encountered so far + brush-up of concepts.

Week 2:

  • Days 1 and 2: Learning about audio and its various features.
  • Days 3 and 4: Extracting learned features from a practice dataset.
  • Day 5: Basic introduction to Machine Learning.
  • Day 6: Application of ML models to audio data.
  • Day 7: Addressing doubts encountered so far + brush-up of concepts.

Week 3:

  • Days 1 and 2: Getting familiar with the dataset and EDA + FE.
  • Days 3 and 4: Learning about Neural Networks, Pytorch and ResNet.
  • Days 5 and 6: Understanding ML models that can be used for our dataset.
  • Day 7: Addressing doubts encountered so far + brush-up of concepts.

Week 4:

  • Day 1 and 2: Building our models from scratch.
  • Day 3 and 4: Fine-tuning and evaluation of performance of the models.
  • Day 5 and 6: Improvement of the models.
  • Day 7: Addressing doubts encountered so far + brush-up of concepts.


https://docs.google.com/document/d/1XcudozGX8jViYwwwWl1akXFnJSMr8lQqCnmJbYCuMso/edit?usp=sharing

The selected students are:

  1. Yash Meshram 221222
  2. Samarth Agarwal 220944
  3. Aryan Mishra 220225
  4. Akanksha Wattamwar 221214
  5. Rohan nimesh 220907
  6. Anshika Mittal 220170
  7. Piyush Chandra 220765
  8. Sanyam 220971
  9. Jasraj Singh 220474
  10. K S U Rithwin 220537
  11. Ashutosh Anand 220239
  12. Abhishek Srivastava 220051
  13. Pranshu Kumar 220799
  14. Sarvesh Singh 220978
  15. Manas Kumar 220611
  16. Kuldeep Sandip Thakare 220557
  17. Harshit Gupta 220439
  18. Devdhar Patil 220348
  19. Sai Dishanth.B 220282
  20. Krishiv Geriani 220545
  21. Chhayank Garg 220311
  22. AKANSHA 220092
  23. Madhav Lata 220597
  24. Soumya gupta 221077
  25. Shivam Rathore 221015
  26. Mitesh Gulpariya 220649
  27. Rohan Batra 210868
  28. Sandhan Aniket Ramdas 210924
  29. Rachit Agarwal 230820
  30. Viral Chitlangia 221198
  31. Sofiyaan Sameer 221072
  32. Akshay Choudhary 210096
  33. Priyanshu Mishra 230806
  34. Shrasti Sahu 221025
  35. Ayush Raj 210249

When

When

December 10, 2023 – January 19, 2024
8:43 PM – 8:43 PM UTC

Organizers

  • Sahil Singh

    IIT Kanpur

    GDSC Lead

  • Saugat Kannojia

    IIT Kanpur

    Tech Lead

  • Shrey Mehta

    Tech Lead

  • Kalika .

    IIT Kanpur

    Tech Lead

  • Benison Bage

    Design Lead

  • Hemant Choudhary

    IIT Kanpur

    Marketing Lead

  • Sanyam Jain

    IIT Kanpur

    Marketing Lead

  • Sweta Kumari

    Events Lead

  • Divya M

    Events Lead

  • Sabari Santhosh

    Product Lead

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