AgentHack submission type
Enterprise Agents
Name
RAHUL
Team name
RPT Agents
Team members
PREETESH SINGHA
How many agents do you use
One agent
Industry category in which use case would best fit in (Select up to 2 industries)
HR
Complexity level
Intermediate
Summary (abstract)
In this automation project, I developed a fully automated employee recognition system. It evaluates monthly performance reports to decide who qualifies for the “Employee of the Month” award. The system also sends personalized recognition emails and certificates. This smart solution works to improve HR recognition processes. It reduces manual effort and ensures timely and fair appreciation for employees.
Detailed problem statement
In many Indian workplaces, employee recognition is still based on rigid systems and outdated checklists. “Employee of the Month” awards often depend on surface-level metrics like attendance, timely submission of self-evaluations, and set performance ratings. While these factors are easy to measure, they often miss the actual impact an employee makes.
As a result, significant contributions, such as launching a successful last-minute campaign, fixing critical bugs under pressure, or leading initiatives that add real business value, can be overlooked just because they don’t fit into strict evaluation criteria. Employees who go the extra mile may not always have perfect documentation or full attendance, but their work moves teams forward. When such efforts go unrecognized, it not only demotivates high performers but also damages the credibility of the recognition process.
This gap between real performance and formal recognition highlights a deeper issue: current recognition systems lack context and human judgment. They reward rule-followers instead of innovators, consistency instead of creativity, and visibility instead of true value.
This project addresses that issue by rethinking how organizations evaluate performance. We propose an intelligent, automated HR assistant created with UiPath Web Studio that reviews employee-submitted reports and uses logical reasoning to assess contributions fairly. Instead of depending only on fixed metrics, it evaluates the importance of each employee’s efforts within the context of their role and outcomes. The system is designed to think like an excellent manager—fair, discerning, and focused on impact.
Detailed solution
Hi! I’m a third-year engineering student, and my project is called Manthan. This word means churning in Sanskrit. In the mythological story, the gods and demons churned the ocean to bring out hidden treasures.
Similarly, Manthan reviews employee reports to find the real gems in a team, the people who truly made the month significant.
In many Indian workplaces, “Employee of the Month” recognition often depends more on attendance and ratings than on actual contributions. This approach frequently overlooks the most impactful efforts.
Employees who exceed expectations—like fixing a production bug at 2 AM or surpassing a sales target—remain unrecognized if they take a short leave or forget to fill out self-rating forms.
Manthan addresses this issue by introducing a fair, logic-driven evaluation system using UiPath Web Studio automation.
Employees submit monthly reports as simple documents containing their name, email, attendance, achievements, and self-rating.
Manthan analyzes these reports using logic and context-aware decision-making to determine one of three outcomes:
oEmployee of the Month
oDeserves Appreciation
oNot Eligible This Time
It does not rely on checkboxes or strict rules. If someone has a strong impact in fewer days, they are still considered. If someone attends every day but contributes little, that is also noted.
The system acts like a smart manager—fair, contextual, and consistent.
It automates the evaluation process, which reduces human bias and saves HR effort.
Manthan improves employee morale, ensures fair recognition, and brings transparency to reward systems.
This project creates a meaningful shift in how workplaces recognize effort—not just by who showed up, but by who truly made a difference.
Demo Video
Expected impact of this automation
Manthan addresses a fundamental workplace problem: fair and meaningful recognition. In today’s blend of remote and in-person work, employee motivation depends not only on salaries but also on feeling acknowledged and valued. However, traditional recognition systems often rely on strict metrics, like attendance or superficial self-assessments, which can overlook true contributors
Here’s how Manthan adds value:
Boosts Morale and Retention: By recognizing actual impact rather than just routine metrics, Manthan promotes innovation, ownership, and effort. This approach reduces employee burnout and prevents quiet quitting.
Equity in Recognition: It ensures that even less visible employees, like backend developers or support staff, receive recognition for their contributions. This democratizes appreciation
Saves HR Time and Reduces Bias: Manthan automates the entire evaluation and award process, minimizing bias and saving hours of manual report checking.
Scalable Across Sectors: Whether for startups or large enterprises, Manthan integrates smoothly into existing workflows, like Google Docs/Drive and UiPath. This makes it simple to adopt without significant infrastructure changes.
Cultural Relevance: Designed with the Indian workplace mindset in mind, Manthan balances empathy, performance, and structure, fostering inclusivity in recognition.
Ultimately, Manthan promotes a performance culture where every contribution is valued, not just the hours logged. It empowers organizations to reward impact over mere presence, reshaping how we understand value at work.
UiPath products used (select up to 4 items)
UiPath Agent Builder
UiPath Document Understanding™
UiPath Integration Service
UiPath Studio Web
Automation Applications
Can be applied to any HR and Employee based architecture(e.g., Healthcare, Finance, Retail, Manufacturing).
Integration with external technologies
Open AI, Email Activities(e.g., Gmail), Document Understanding(Word/PDF)
Agentic solution architecture (file size up to 4 MB)
Sample inputs and outputs for solution execution
Input - Already provided in the below GitHub repo link.
Output - Already provided in the solution video.