The problem PocketCTO solves

Successfully we have deployed 2000+ lines of code For MARKET RESEARCH named "PocketCTO" in which we used sentimental analysis and recommendation system with high-end security with the help of cryptography and using Python Django as a Backend and react.js as Frontend.
Last but not least, our outstanding UI successfully meets the demand for data abstraction and ease of access to the end-user.
Based on internal analysis and discussion with Mentors, we strongly believe that this system would be very helpful for strong decision making and strategy building CTOs of different industries for better revenue.We successfully ensured the security of confidential data released during the complete Market Research and related model execution

Challenges we ran into

we tried to overcome several challenges during the development face including building and testing Rest API using PostMan, Integrating python and NLP models along with the dynamic backend and database.