Nirmitee 2.0: How SolGuruz Teams Used AI to Deliver 9 Working Products

At SolGuruz, we believe in constantly learning new things and testing the boundaries of our own knowledge. We never stop being curious about what we can do, and that is why all the teammates of SolGuruz enthusiastically took part in a 24-hour Hackathon. This was not limited to only technical departments such as design, development, and QA, but also Sales and Marketing.

The purpose of this Hackathon was for inter-department collaboration and, more importantly, discovering the whole process of a product being made and executing it. Every person involved walked away with enhanced knowledge of product development and is now more confident in their skills of communication and collaboration.

Additionally, most of our teammates used their critical thinking and problem-solving skills with AI and solved their problem statements even if they had no previous experience with coding. That’s right- even our business analysts were able to create brilliant frontend and backend architecture just using AI and deliver a successful demo!

Let us quickly introduce you to all the participating teams of Nirmitee 2.0 Hackathon and showcase their final products. There’s going to be one winner and one runner-up, so read along and place your bets on who you’d like to see win!

Made by: ShristiSquad

The e-commerce business has a big problem- customers don’t trust the products they can’t try on. This "confidence gap" is a direct drain on bottom-line revenue for retailers. Shristi AR, developed by ShristiSquad during the Nirmitee Hackathon 2.0, presents a solution to this problem by merging Augmented Reality (AR) with hands-free voice and gesture controls.

Traditional online shopping depends on static images that don’t properly show scale, fit, or real-world appearance, leading to a 40% cart abandonment rate. This lack of visualization forces a "buy-to-try" behavior that results in a staggering 30% return rate in fashion and accessories. For retailers, this means high operational costs, lost margins, and logistical inefficiency because of consumer uncertainty.

Traditional online shopping depends on static images that don’t properly show scale, fit, or real-world appearance, leading to a 40% cart abandonment rate. This lack of visualization forces a "buy-to-try" behavior that results in a staggering 30% return rate in fashion and accessories. For retailers, this means high operational costs, lost margins, and logistical inefficiency because of consumer uncertainty.

Shristi AR provides a multi-platform engine that allows users to "Try Before You Buy" through real-time 3D product projection. Unlike standard AR tools, it introduces Voice-Enabled Commerce, allowing users to navigate catalogs with commands like "Next" or "Add to Cart" without touching their screens. This frictionless experience uses high-precision face landmark tracking to ensure accessories like sunglasses and jewelry sit naturally on the user in real-time.

Project Breakdown:

Web (Desktop & Mobile Browser)

Mobile (Native App)

3D Asset Modeling: SketchFab (Sourcing) & Blender (Customization)

Hosting: Vercel

Made by: ChakraForge

In high-velocity development environments, information silos are the silent killers of productivity. ChakraForge, developed during the Nirmitee Hackathon 2.0, introduced SolDocs, a centralized AI-driven knowledge agent designed to transform static company documentation into an interactive, searchable, and generative asset.

Engineering and product teams often struggle with "Document Drift," where critical information is scattered across various platforms and folders. This leads to new joiners feeling overwhelmed, teams repeatedly recreating SRS and technical documents from scratch, and, most critically, significant time wasted searching for answers instead of building features. Without a centralized organization, the "cost of curiosity" remains high, slowing down the entire development lifecycle.

SolDocs acts as a project-wise Knowledge Hub that does more than just store files; it understands them. By utilizing an AI Copilot (Q&A Chatbot), users can query their project workspace and receive instant, context-aware answers. Beyond retrieval, the system features an AI Document Generator that can produce full SRS documents or technical drafts from simple text prompts. This ensures that documentation stays live, accessible, and integrated into the daily workflow.

Made by: YuktiX

In the high-pressure window before a product launch, Quality Assurance (QA) often becomes the ultimate bottleneck. TestArchitect.ai, developed by Team YuktiX during the Nirmitee Hackathon 2.0, is an automation agent designed to remove manual testing delays and ensure bug-free deployments at scale.

As development cycles shrink, QA teams are often buried under a mountain of new tickets just hours before a scheduled launch. Manual test case generation is slow, prone to human error, and struggles to keep pace with rapid code changes. When testing can't keep up with development, companies are forced to choose between delaying the launch or releasing software with potential "showstopper" bugs, both of which carry heavy financial and reputational risks.

TestArchitect.ai automates the most tedious parts of the QA lifecycle by instantly creating comprehensive test cases with clear pass/fail criteria. The platform understands OpenAPI specifications and Pull Request (PR) diffs, meaning it can automatically identify what has changed in the code and create relevant tests immediately. With features like "Ask AI" for custom test logic and a centralized dashboard for all testing jobs, it changes QA from a manual problem into a high-speed automated asset.

Streamlined Tech Stack

Intelligence & AI Orchestration

Backend & Infrastructure

Frontend & Management

Made by: Vidyut Surge

Content marketing is often a fragmented process involving half a dozen disconnected tools and dozens of manual hours per article. MarqAI Studio, built in just 18 hours during the Nirmitee Hackathon 2.0, is an all-in-one AI platform that unifies keyword research, content generation, and multi-channel publishing into a single, intelligent workflow.

Marketing teams are currently "drowning" in manual handoffs. A single article typically requires 6+ tools (SEMrush, Jasper, WordPress, Trello, etc.), leading to over 40+ hours of work per piece. Beyond the initial build, "Content Decay" often goes unnoticed, with pages silently losing their Google rankings because teams lack real-time monitoring and an automated way to refresh outdated information.

MarqAI Studio replaces the fragmented stack with an automated pipeline that speeds up the content cycle by 10x. It has an AI Content Architect that handles keyword clustering and competitor research, followed by a generator that scores drafts against Google’s EEAT signals before they go live. With 10+ CMS integrations (Webflow, Shopify, HubSpot) and automated social media distribution, it makes sure that once a strategy is set, the execution is largely autonomous.

Streamlined Tech Stack

Core Automation & Intelligence:

Frontend & CMS Integration

Infrastructure

Made by: Vega Coders

In high-pressure engineering environments, developers often spend more time on coordination than on actual coding. SolSwarm, developed by Vega Coders at the Nirmitee Hackathon 2.0, solves this by deploying a "swarm" of specialized AI agents that autonomously manage the Software Development Life Cycle (SDLC).

Modern development has a lot of manual overhead, with developers wasting 40% of their time switching between coding, testing, documenting, and deploying. This fragmentation creates knowledge silos, slows down release cycles, and leads to developer burnout. Without a unified ecosystem to bridge these stages, the journey from "feature idea" to "production-ready code" remains a slow, manual bottleneck.

SolSwarm introduces an orchestration layer where users describe features in plain English, and a specialized team of agents takes over. The Code Agent writes the implementation, the Test Agent generates self-healing tests, and the Docs Agent automatically syncs READMEs and API specs. By keeping a "Human-in-the-Loop" for creative control while automating the repetitive "grunt work," SolSwarm ensures that documentation and tests never fall behind the implementation.

Project Breakdown:

Streamlined Tech Stack

Dive Deeper into AI Agents: Types of AI Agents in 2026: Which Agent Model Works Best?

Made by: Netra AI

In an industry where self-tape auditions have become the global standard, actors often struggle with the lack of immediate, objective feedback. Performa, developed by Team Netra AI during the Nirmitee Hackathon 2.0, is an AI-driven acting coach designed to bridge the gap between solo rehearsal and professional performance.

Aspiring actors face a significant barrier to entry: 70% of audition failures are attributed to under-rehearsal rather than a lack of talent. Traditional training is prohibitively expensive (costing upwards of ₹2.65L–4L), and finding a reliable scene partner for late-night rehearsals is nearly impossible. This leads to inconsistent self-tapes and subjective self-assessment in a massive market of 3M+ aspiring actors who currently lack specialized AI tools.

Performa functions as an AI scene partner that gives character voices to rehearse with and a partner to rehearse with. Beyond simple lines, the platform uses computer vision and audio analysis to provide a Callback Prediction Score, evaluating emotion, pacing, and projection. By offering real-time feedback on lighting, blocking, and delivery, it helps actors optimize their self-tapes before submission.

Streamlined Tech Stack

Core AI & Analysis

Frontend & Mobile

Infrastructure

Made by: Tantra Labs

In the competitive SaaS landscape, user churn often happens silently. By the time a support ticket is raised, the user has usually already decided to quit. Vigil.AI, developed by Team Tantra Labs during the Nirmitee Hackathon 2.0, is an automated Customer Success agent that intervenes in real-time to prevent "rage-quitting" before it happens.

Software companies lose significant revenue to "Day 0" churn. Users often get stuck during onboarding with no immediate assistance, leading to frustration. Traditional help documentation is generic and non-contextual, and support teams are typically reactive because they reach out only after a user has already abandoned the flow. This lack of proactive guidance results in poor feature discovery and high abandonment rates.

Vigil.AI acts as an "always watching" guardian of the user experience. It uses behavioral triggers to detect Rage Clicks, Dead Clicks, and Hover Hesitation (long pauses indicating confusion). Once a struggle pattern is identified, the AI triggers immediate, contextual interventions such as smart tooltips, 15-second video snippets of the exact task, or interactive walkthroughs. This helps users instantly without them ever needing to open a support tab.

Core AI & Analysis

Frontend & Integration

Infrastructure

Made by: AvishkarX

Client review cycles are notoriously broken, often full of subjective comments that stall development. Clarix, developed by Team AvishkarX during the Nirmitee Hackathon 2.0, is a Client Review Intelligence Platform designed to bridge the communication gap between non-technical stakeholders and engineering teams.

Development teams are frequently paralyzed by "feedback fog," aka vague client comments like "this looks weird" or "make it pop," that lack page context, URLs, or reproduction steps. Currently, developers spend hours manually triaging mixed issues (where three distinct bugs are buried in one paragraph) and chasing clients for screenshots. This manual interpretation leads to miscategorized tasks, wasted sprint capacity, and friction during the UAT (User Acceptance Testing) phase.

Clarix introduces a three-layer system that captures, interprets, and categorizes feedback with zero manual effort. An embedded SDK widget automatically detects console errors and failed API calls the moment a client opens the staging app. Using Natural Language Processing (NLP), Clarix splits compound feedback into individual, structured tickets, assigns a priority level (P0–P3) based on sentiment, and routes them to the responsible team (Frontend, Backend, or QA) instantly.

Made by: AgniCore

Software development moves fast, but the gap between a "great idea" and a "technical specification" is where most projects lose momentum. Blueprint IQ, developed by Team AgniCore during the Nirmitee Hackathon 2.0, is an AI-driven requirement analysis engine that automates the creation of professional technical documentation from simple natural language inputs.

Today, organizations are trapped in a cycle of manual documentation that is both slow and prone to errors. Project managers and architects often spend days repeatedly writing similar SRS documents, searching through old files for references, and struggling to maintain version consistency. This manual bottleneck not only delays project kick-offs but often leads to inconsistencies between natural-language requirements and the final technical architecture.

By reading natural language inputs, the system autonomously extracts features, identifies necessary modules, and understands the full project scope. It then generates a comprehensive suite of "Launch-Ready" assets, including SRS documents, architecture diagrams, project proposals, timelines, and cost estimates. This allows teams to skip the "blank page" phase and move directly to review and execution.

Core AI & Analysis

Design & Documentation

Development Environment

This was a fan-favourite because of the sheer attractiveness and functionality of the product. Most of us shop online now, and would love to have AR try-ons to make our shopping decisions easier. The fact that ShristiSquad was able to present a successful demo on a web browser as well as a mobile app is a testament to their efforts.

It’s one of the most useful products for the service and product industry. When you just wanted to get started with the project, but you gotta take a few days to make documents manually is a bummer. With BlueprintIQ, you can give a natural language input and get a whole bundle of professional AND technical documents like SRS, Technical Architecture, Proposal, and more.

We congratulate both of these teams for their brilliant work and also give a shout-out to all other teams for their enthusiastic and innovative spirit!

P.S.: Most of us have already started gearing up for Nirmitee 3.0 🤭

ALSO SEE: Nirmitee Hackathon 2025 at SolGuruz: See teams, projects, and the winner!