Tech-stack: Go
- load the
candidates.jsonjson file- As the number of entries are less, we can use in-memory storage for now and database is not needed
Example json entry in json list
{
"name": "Loyal Xerus",
"email": "loyal-xerus@example.com",
"phone": "17192103718",
"location": "United States",
"submitted_at": "2025-01-28 04:43:07.000000",
"work_availability": [
"full-time",
"part-time"
],
"annual_salary_expectation": {
"full-time": "$76048"
},
"work_experiences": [
{
"company": "Zwicker & Associates",
"roleName": "Software Developer"
}
],
"education": {
"highest_level": "Bachelor's Degree",
"degrees": [
{
"degree": "Bachelor's Degree",
"subject": "Computer Science",
"school": "State Universities",
"gpa": "GPA 3.0-3.4",
"startDate": "",
"endDate": "2023",
"originalSchool": "University of Massachusetts Lowell",
"isTop50": true,
"isTop25": false
}
]
},
"skills": [
"TypeScript",
"SQL",
"C#"
]
}-
Clean up the data
- Generate id for each entry to uniquely identify
- Filter duplicate email and consider the latest one using submitted_at
-
Generate score for each candidate ( total score should be for 100 )
- if
work_availabilitylist containsfull-timehigher the score - if
degreeslist contain aisTop50: true, higher the score - if
degreeslist contains aisTop25: true, higher the score - More the count of relevant
skills, higher the score with a cap - More the count of
work_experience, higher the score with a cap - Lower the
annual_salary_expectation>full-time, higher the score
- if
-
API endpoints
- GET /api/candidates?page=1&page_count=10&query=''
- returns all the candidates sorted with score
- Paginated list
- query does full text search
- GET /api/candidates?page=1&page_count=10&query=''
Tech stack: Typescript, next.js
- Displays the candidate cards in pages
- Skills should be badges
- Score with a star
- Search bar for searching candidates
- Search makes the API call with query
- Ability to add favorites which displays in another section
graph TD
A[User] --> B(Next.js Application);
B --> C{API Request};
C -- /api/candidates?page=${page}&page_count=${page_count}&query=${query} --> D(Go Backend API);
D --> E[In-Memory Candidate Data];
E --> D;
D --> F{Data Processing & Scoring};
F --> D;
D --> G(Response);
G --> B;
B --> H[Display Candidate Cards];
B --> I[Search Bar];
I --> C;
B --> J[Favorites];
J --> B;
subgraph Go Backend
D; E; F; G;
end
subgraph Frontend
B; H; I; J;
end
style A fill:#f9f,stroke:#333,stroke-width:2px
style B fill:#ccf,stroke:#333,stroke-width:2px
style C fill:#ccf,stroke:#333,stroke-width:2px
style D fill:#ccf,stroke:#333,stroke-width:2px
style E fill:#ccf,stroke:#333,stroke-width:2px
style F fill:#ccf,stroke:#333,stroke-width:2px
style G fill:#ccf,stroke:#333,stroke-width:2px
style H fill:#ccf,stroke:#333,stroke-width:2px
style I fill:#ccf,stroke:#333,stroke-width:2px
style J fill:#ccf,stroke:#333,stroke-width:2px