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๐ŸšฉMain Group - @SuperExams
๐Ÿ“Job Updates - @FresherEarth

๐Ÿ”ฐAuthentic Coding Solutions(with Outputs)
โš ๏ธDaily Job Updates
โš ๏ธHackathon Updates & Solutions

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def max_call_executives(n, start_times, end_times):
    timeline = [0] * (24 * 60 + 1)
   
    for i in range(n):
        start = int(start_times[i][:2]) * 60 + int(start_times[i][2:])
        end = int(end_times[i][:2]) * 60 + int(end_times[i][2:])
        timeline[start] += 1
        timeline[end] -= 1
   
    max_executives = 0
    current_executives = 0
    for i in range(len(timeline)):
        current_executives += timeline[i]
        max_executives = max(max_executives, current_executives)
   
    return max_executives

Call Centre โœ…
Priyanka:
Jp morgan interview completed..these r the two questions..How communications plays a mojor role in the job environment...and 2nd one How will u tell about the topic that you u know very well to others.

There will 2 tries..u can do retries..so dont wry about 1st attempt.
Summer Internship positions for students at Bosch Corporate Research, India.
 
Domains: Text Analytics/NLP/Generative AI.
Duration: 2-6 months or more.
Responsibilities: Research activities on Natural Language Processing, Text Analytics, and Deep Learning
- Large Language Models
- RAG
- Domain Adaptation
- Knowledge Graphs
 
Qualifications: Current Bachelor / Master / Ph.D. students of Computer Science. Strong knowledge of Machine Learning, Deep Learning, and NLP. Interest and aptitude in research activities.
 
Interested candidates can send resumes at: 
- rtc_careers@in.bosch.com
- Subject: CR/RTC-IN: LLMs Internship - <name>, <college>, <degree_program (B.Tech/M.Tech./M.S/Ph.D.)>, <branch>, <graduation_year>
- e.g. CR/RTC-IN: LLMs Internship - Kartheek, IIT-H, M.Tech, CSE, 2025
๐Ÿ‘1
#include <bits/stdc++.h>
#define ll long long
using namespace std;
ll count(ll k,vector<ll>&a,vector<ll>&b)
{
    ll n=a.size();
    ll m=b.size();
    unordered_map<ll,ll>mpp;
    ll ans=0;
    for(ll i=0;i<n;i++) mpp[__gcd(a[i],k)]++;
    for(ll i=0;i<m;i++)
    {
        for (auto &it:mpp)
            if((__gcd(b[i],k)*it.first)%k==0) ans+=it.second;
    }
        return ans;
}
signed main()
{
    ll n,m,k; cin>>n>>m>>k;
    vector<ll>a(n),b(m);
    for(ll i=0;i<n;i++) cin>>a[i];
    for(ll i=0;i<m;i++) cin>>b[i];
    cout<<count(k,a,b);
    return 0;
}


Product divisibility โœ…
Cyber Security Internship Opportunity

Location: IIT Kanpur

Position Type: Virtual

Duration: 1 Month

Skills Knowledge: Cybersecurity + Python + GenAI

Learnings:
1. Research on Cybersecurity Threats and Trends
2. Building Projects on Cybersecurity and AI
3. Learning basics to advanced skills in Python

Kindly submit the form: https://lnkd.in/gaCcGTVM

NOTE: Few Interns will be selected at IIT Kanpur for full-time internship with Cyber3ra
int main() {
    int n, x;
    cin >> n >> x;
    vector<int> c(n);
    for(int i = 0; i < n; i++) {
        cin >> c[i];
    }

    int m = 0, s = 0, i = 0;
    for(int e = 0; e < n; e++) {
        s += c[e];
        while(s > x) {
            s -= c[i++];
        }
        m = max(m, e - i + 1);
    }

    cout << m << endl;
    return 0;
}

Mercedes โœ…
def maximize_profit(prices):
    if len(prices) < 2:
        return "Not Possible" 
    min_price = prices[0]
    max_profit = 0
    for price in prices[1:]:
        max_profit = max(max_profit, price - min_price)
        min_price = min(min_price, price)
    if max_profit > 0:
        return "Possible\n{}".format(max_profit)
    else:
        return "Not Possible"
n = int(input())
prices = list(map(int, input().split()))
print(maximize_profit(prices))

Maximize Profit โœ