API-Calculate-Endpoint

Parameter	Type	Description
Hallticket	string	Required: Your Hallticket Number
dob	string	Required: Your Date of Birth (YYYY-MM-DD)
Year	string	Required: Desired Year and Semester (year,sem)
degree	string	Required: usually : btech
examCode	string	Required: unique exam code
eType	string	Required: unique eType
type	string	Optional: unique type ( eg: intgrade )
result	string	Required: parameter for old results links

A Query parameter endpoint to get result along with sgpa of an exam given hallticket, date of birth, degree, examCode, eType, type and result.

  GET /api/calculate?hallticket&dob&year&degree&examCode&eType&type&result

Usage

1. Go here:

https://results-restapi.up.railway.app

2. As the above parameters have been mentioned, form the endpoint as such:

    https://results-restapi.up.railway.app/api/calculate?hallticket&dob&year&degree&examCode&eType&type&result
   

3. Substitute your identification values in the above parameters and the RestAPI is triggered.

Example

You could use Postman or any other service as you wish to test the RestAPI.

Copy and paste this url in a new tab:

https://results-restapi.up.railway.app/api/calculate?hallticket=185u1a0565&dob=3&degree=btech&examCode=1502&etype=r17&type=intgrade

and it shall trigger the endpoint with the below response. Now, all you need to do is change the hallticket-number and the date-of-brith to trigger the endpoint to fetch the specific results.

You would obtain the response object as follows:

[
  {
    "SGPA": 7.91
  },
  {
    "HTNO": "185U1A0565",
    "NAME": "KOTAGIRI HEMANTH",
    "FATHER NAME": "K SRINIVAS",
    "COLLEGE CODE": "5U"
  },
  [
    {
      "subject_code": "15607",
      "subject_name": "COMPILER DESIGN LAB",
      "grade_earned": "O",
      "subject_credits": "1.5",
      "internal_marks": "22",
      "external_marks": "71",
      "total_marks": "93"
    },
    {
      "subject_code": "15618",
      "subject_name": "MACHINE LEARNING LAB",
      "grade_earned": "O",
      "subject_credits": "1.5",
      "internal_marks": "24",
      "external_marks": "74",
      "total_marks": "98"
    },
    {
      "subject_code": "15631",
      "subject_name": "SOFTWARE TESTING METHODOLOGIES LAB",
      "grade_earned": "O",
      "subject_credits": "1",
      "internal_marks": "23",
      "external_marks": "70",
      "total_marks": "93"
    },
    {
      "subject_code": "15634",
      "subject_name": "CYBER SECURITY",
      "grade_earned": "O",
      "subject_credits": "0",
      "internal_marks": "96",
      "external_marks": "0",
      "total_marks": "96"
    },
    {
      "subject_code": "156AH",
      "subject_name": "COMPILER DESIGN",
      "grade_earned": "B",
      "subject_credits": "4",
      "internal_marks": "17",
      "external_marks": "36",
      "total_marks": "53"
    },
    {
      "subject_code": "156AN",
      "subject_name": "DESIGN AND ANALYSIS OF ALGORITHMS",
      "grade_earned": "A+",
      "subject_credits": "4",
      "internal_marks": "22",
      "external_marks": "58",
      "total_marks": "80"
    },
    {
      "subject_code": "156BN",
      "subject_name": "MACHINE LEARNING",
      "grade_earned": "A",
      "subject_credits": "4",
      "internal_marks": "22",
      "external_marks": "48",
      "total_marks": "70"
    },
    {
      "subject_code": "156CW",
      "subject_name": "SOFTWARE TESTING METHODOLOGIES",
      "grade_earned": "B+",
      "subject_credits": "3",
      "internal_marks": "22",
      "external_marks": "46",
      "total_marks": "68"
    },
    {
      "subject_code": "156DP",
      "subject_name": "DISASTER PREPAREDNESS & PLANNING MANAGEMENT",
      "grade_earned": "B+",
      "subject_credits": "3",
      "internal_marks": "18",
      "external_marks": "44",
      "total_marks": "62"
    }
  ]
]