Inspiration
Exposure to AI in Financial Sector.
What it does
Automating the voice call using AI.
How we built it
We propose a fusion architecture which is a combination of three different ML, DL models w.r.t NLP.
Challenges we ran into
Dataset, Voice Authentication, Speech Recognition
Accomplishments that we're proud of
In a short span of time, we analyzed the problem as well as proposed a solution at an architectural level as a team. At the same time, we got a lot of insights from the leadership and management team. In addition, we were able to multi-task by attending different workshops and working on our projects at the same time that enhanced our skill-set.
What we learned
We were able to learn the business process and integration of AI with the Business model in Financial Sector.
What's next for AVRIOCS
Implementation, Training - Testing the model and Deploying the model.
Built With
- azure
- natural-language-processing
- nosql
- pyspark
- python
- sql
- tensorflow
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