AITeky Learn
Mini-project Banking & Fintech

Customer complaint classifier

Sort banking complaints into categories and find the most common problems.

The brief

A bank's grievance cell reads every complaint by hand to decide its category and team. Build a classifier that sorts complaints into categories like those of the RBI Ombudsman scheme, works for English and Hindi text, and shows which problems are growing. Good looks like: accuracy per category, a check on Hindi complaints, and a trend chart of complaint types.

What you will build

  1. Map complaint products and issues to clear categories
  2. Train a TF-IDF baseline and a fine-tuned transformer
  3. Test on translated or Hindi examples
  4. Find the fastest-growing complaint types
  5. Present results in a short dashboard

Free, open data to build it with

Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.

We use essential cookies to run the site. With your permission we also set one anonymous ID to count unique visitors, and Google Analytics cookies to see which pages help learners. Cookie notice

Join AiTeky Learn. It's free.

Create a free account to track your progress, save items for later and get study suggestions.

Sign up free Log in