added todo items

README.md

@@ -15,4 +15,38 @@ This project uses the Comprehensive Medical Q&A Dataset from Kaggle:
 This project is licensed under the MIT License - see the LICENSE file for details.
 
 ## Acknowledgements
-We gratefully acknowledge the use of the Comprehensive Medical Q&A Dataset from Kaggle in this project.
+We gratefully acknowledge the use of the Comprehensive Medical Q&A Dataset from Kaggle in this project.
+
+## TODO
+- [ ] Perform more extensive data exploration
+   - [ ] Analyze distribution of question types
+   - [ ] Examine question and answer lengths
+   - [ ] Identify common medical terms and topics
+   - [ ] Visualize key insights from the dataset
+
+- [ ] Enhance data preprocessing
+   - [ ] Implement text cleaning (remove special characters, standardize formatting)
+   - [ ] Perform named entity recognition for medical terms
+   - [ ] Apply advanced tokenization techniques
+   - [ ] Explore options for data augmentation
+
+- [ ] Evaluate and improve data quality
+   - [ ] Identify and handle potential data inconsistencies
+   - [ ] Implement a method to detect and remove duplicate entries
+   - [ ] Consider adding additional metadata (e.g., difficulty level, topic categories)
+
+- [ ] Optimize data storage and retrieval
+   - [ ] Experiment with different vector embedding techniques
+   - [ ] Fine-tune Chroma database parameters for better performance
+   - [ ] Implement caching mechanisms for frequently accessed data
+
+- [ ] Enhance model performance and capabilities
+   - [ ] Experiment with fine-tuning the language model on medical data
+   - [ ] Implement a hybrid retrieval-generation approach
+   - [ ] Explore few-shot learning techniques for improved accuracy
+
+- [ ] Improve user experience
+   - [ ] Develop a user-friendly web interface or chat application
+   - [ ] Implement multi-turn conversations and context tracking
+   - [ ] Add support for voice input and text-to-speech output
+