ResumeReviewer will prepare students for resume based interview rounds during Placements by highlighting critical topics and suggesting relevant questions based on past interviews.
The major parts of ResumeReviewer are -
- Resume parser
- Resume correction
- Context modifications
- Impact understanding
- Key highlights
- Interview question suggestion
- Interface design
Most of the above goals are subjective to change according to feasibility and general feedback from other developers. Given KWOC will run for 4 weeks, I am hoping to get the first, second, fifth and sixth points to be covered, even if they might not be production level. So the timeline would approximately look like -
- Resume parser - 7th to 13th December
- Resume correction - 14th to 20th December
- Key highlights - 21st to 27th December
- Interview question suggestion - 28th to 2nd Jan
Tech stack will be predominantly Python based, and powered by open source libraries (unless using a paid API is the only option). Please keep checking the README for further updates, and join the Slack channel for further discussion regarding key development decisions.