Progress:
TASK 1:
- Fetch max tweets using Twitter API and dump all its responses in a .jsonl file
- Parse the .jsonl file n display the text, likes, retweets, date/time, number of images in each tweet in a tabular format
TASK 2:
- Use any ML/DL technique to classify images given in a .pkl format
- Tweaked ResNet-18 to take single channel images as input and 4 classes as output : (Validation Acc.)87.3%
- Pack the predicted test labels into a .csv file format