Building an AI Sales Intelligence Platform in Just 12 Hours at Hack Aarambh 2026

Sujal Vasara — Sat, 11 Jul 2026 06:28:13 +0000

# Building an AI Sales Intelligence Platform in Just 12 Hours at Hack Aarambh 2026

Turning sales conversations into actionable business insights using AI.

Yesterday, my team and I participated in Hack Aarambh 2026 at Swarnim Startup & Innovation University (SSIU).

Like every hackathon, the challenge wasn't just writing code—it was identifying a real-world problem, designing a practical solution, and delivering a working prototype within 12 hours.

Instead of building another chatbot or productivity tool, we wanted to solve a problem faced by almost every sales-driven organization.

The Problem

Every day, sales teams spend hours talking to potential customers.

These conversations contain valuable information such as:

Customer pain points
Buying intent
Competitor mentions
Product feedback
Common objections
Feature requests

Unfortunately, most of this information remains buried inside meeting recordings or handwritten notes.

Managers rarely have time to review every conversation, which means valuable business insights are often lost.

That became our motivation.

Introducing AI Sales Intelligence Platform

Our project is an AI-powered platform that automatically analyzes sales conversations and transforms them into actionable insights for both sales representatives and business leaders.

Instead of manually reviewing calls, users receive:

AI-generated summaries
Customer intelligence
Actionable recommendations
Performance analytics
Business insights

...all within seconds.

What We Built

AI Call Transcription & Summarization

The platform automatically converts conversations into readable transcripts and concise summaries.

Customer Intelligence

The platform identifies:

Customer sentiment
Buying intent
Objections
Competitor mentions
Important discussion topics

This helps sales teams focus on what actually matters.

AI Generated Follow-ups

Writing follow-up emails after every meeting is repetitive.

Our platform automatically generates personalized follow-up emails based on each conversation.

Product Intelligence

Customer conversations contain valuable product feedback.

The platform extracts:

Frequently requested features
Customer complaints
Recurring pain points

This information helps product teams prioritize future improvements.

Sales Performance Analytics

Managers can monitor sales representative performance through AI-generated insights instead of relying solely on manual reviews.

Interactive Dashboard

Everything is presented through a centralized dashboard where managers can quickly understand:

Customer trends
Sales performance
Product feedback
AI-generated insights

Tech Stack

Layer	Technologies
Frontend	React, Tailwind CSS
Backend	Node.js, Express.js
Database	MongoDB
AI	Python, LLM APIs, Speech-to-Text APIs

Challenges We Faced

Building features wasn't the hardest part.

Building the right features in just 12 hours was.

Some of our biggest challenges included:

Prioritizing the MVP
Integrating multiple AI services
Connecting the frontend and backend
Handling API response times
Preparing a stable demo before the final presentation

Time management became just as important as technical skills.

What We Learned

This hackathon reinforced several important lessons:

Build the MVP first.
Don't over-engineer.
Communication is as important as coding.
Shipping a working product is better than chasing perfection.
AI creates the most value when it solves real business problems.

Meet Team Dream Builders

This project wouldn't have been possible without an amazing team.

Jatin Rajvani
Prem Kambaliya
Mohil Mundke

Acknowledgements

A heartfelt thanks to our mentors:

Patel Neel Maheshkumar
Vikas Kumar
Kshatriya Samir Singh

Their guidance helped us stay focused and improve our solution throughout the hackathon.

What's Next?

Although the hackathon has ended, this project hasn't.

We plan to continue improving the platform by adding:

CRM integrations
Multi-language conversation analysis
Real-time meeting intelligence
Better analytics and reporting
Improved AI recommendations
Enterprise-ready deployment

GitHub Repository

If you'd like to explore the project or contribute, feel free to check it out.

Repository:

https://github.com/VasaraSujal/Hack_Aarambh_DreamBuilders

Feedback, suggestions, and contributions are always welcome.

Final Thoughts

Hack Aarambh wasn't just about building software.

It was about solving a meaningful problem, collaborating under pressure, and learning from an incredible community of builders.

In just 12 hours, we transformed an idea into a working AI-powered platform.

This is only the beginning. We're excited to continue improving the platform and would love to hear your thoughts, suggestions, or feedback in the comments.

Thanks for reading!

DEV Community: Sujal Vasara