So submit a pull request within the stipulated time along with a readme file that explais how to run the code
- Identify a problem you are passionate about
- Then find a relevant dataset(It may be small but that is where transfer learning becomes important)
- Use a suitable model and apply the learnings
- Novelty 40%
- Dataset_used 20%
- DL techniques 20%
- Code Quality 20%
- sai krishna(https://github.com/themendu)
- Manoj(https://github.com/manojpaidimarri21)
- Sravya(https://github.com/sravya27082001)