🐦 Objective: Analyze tweets to classify sentiments (positive, negative, neutral).

• Data: Twitter sentiment dataset
• Methods: LSTM, BERT (transfer learning)
• Tools: TensorFlow, Hugging Face Transformers

✨ Outcome: Built a sentiment classifier that detects public mood with >85% accuracy.

👉 Project Report