# Building an AI Sales Intelligence Platform in Just 12 Hours at Hack Aarambh 2026 > Source: > Published: 2026-07-11 06:28:13+00:00 [# Building an AI Sales Intelligence Platform in Just 12 Hours at Hack Aarambh 2026](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fm7w9i8pbwkbzye1vyi7o.png) 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. Every day, sales teams spend hours talking to potential customers. These conversations contain valuable information such as: 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. 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: ...all within seconds. The platform automatically converts conversations into readable transcripts and concise summaries. The platform identifies: This helps sales teams focus on what actually matters. Writing follow-up emails after every meeting is repetitive. Our platform automatically generates personalized follow-up emails based on each conversation. Customer conversations contain valuable product feedback. The platform extracts: This information helps product teams prioritize future improvements. Managers can monitor sales representative performance through AI-generated insights instead of relying solely on manual reviews. Everything is presented through a centralized dashboard where managers can quickly understand: | Layer | Technologies | |---|---| | Frontend | React, Tailwind CSS | | Backend | Node.js, Express.js | | Database | MongoDB | | AI | Python, LLM APIs, Speech-to-Text APIs | Building features wasn't the hardest part. Building the rightfeatures in just12 hourswas. Some of our biggest challenges included: Time management became just as important as technical skills. This hackathon reinforced several important lessons: This project wouldn't have been possible without an amazing team. A heartfelt thanks to our mentors: Their guidance helped us stay focused and improve our solution throughout the hackathon. Although the hackathon has ended, this project hasn't. We plan to continue improving the platform by adding: If you'd like to explore the project or contribute, feel free to check it out. **Repository:** [https://github.com/VasaraSujal/Hack_Aarambh_DreamBuilders](https://github.com/VasaraSujal/Hack_Aarambh_DreamBuilders) Feedback, suggestions, and contributions are always welcome. 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!