Fireblaze 5
6 October 2026 · Mate Square · Upcoming
Cold-Chain Intelligence
AI-powered autonomous cold chain and agri-perishable logistics, across four tracks: anomaly detection, LLM agents for disputes, full stack and real-time monitoring.
Fireblaze Tech League
Fireblaze Tech League: A Monthly AI Build Competition in Nagpur
Every season takes one real industry problem, gives student teams 21 days to build an AI solution for it, and ends with a full day of demos judged by working professionals. Five seasons so far, covering waste collection, finance automation, mining logistics, ICU intelligence and cold-chain supply.
Run by Fireblaze AI School at our Nagpur centres. Currently open to Fireblaze students, and opening to students from other colleges from November 2026.
The Fireblaze Tech League (FTL) is a recurring AI build competition run by Fireblaze AI School in Nagpur, held roughly once a month since May 2026. Each season is built around a single industry problem statement. Teams get 21 days to design and build a working solution, then present it on a final day lasting around eight and a half hours, judged by Fireblaze faculty and invited industry professionals. Seasons so far have covered smart waste collection, AI for finance and compliance, mining pit-to-dispatch logistics, ICU intelligence, and AI-powered cold chain. It has run for Fireblaze students to date, and opens to students from other colleges from November 2026.
Season 5 · 6 October 2026
Tech League 5.0: Cold-Chain Intelligence
AI-Powered Autonomous Cold Chain and Agri-Perishable Logistics
The problem statement
Perishable agricultural produce and temperature-sensitive biological goods spoil in transit before reaching retail or end users. The brief attributes this to fragmented logistics, unverified or false transit logs, and reefer failures, and frames the scale of the loss in India at over 30% of perishable produce and more than ₹1.5 lakh crore a year.
Teams build systems that make a cold chain observable and accountable: detecting temperature breaches as they happen, keeping records nobody can quietly edit afterwards, and resolving liability disputes that currently take months.
The four tracks
ML & Anomaly Detection
Spotting temperature breaches and irregular transit patterns in sensor data before the cargo is lost.
LLM Agents & Disputes
Agents that assemble evidence and resolve liability disputes between stakeholders with conflicting records.
Full Stack
The application layer that makes all of it usable by the people running the logistics.
Real-time Monitoring
Live visibility across the chain, so a failure is visible while it can still be acted on.
Format
Twenty-One Days, Then One Long Day
The shape of the competition is the thing that makes it useful. A single-day hackathon rewards whoever can improvise fastest. Three weeks rewards the team that can actually finish something.
The problem statement drops
One industry problem, specific enough to be real and broad enough that teams can approach it from different angles. Past statements have come from mining, healthcare, finance and logistics.
Teams build for 21 days
Teams form, scope their approach and build, with mentor check-ins along the way. This is where most of the learning happens, and where teams discover that the hard part is rarely the model.
Final day, around eight and a half hours
Teams present working solutions to a panel. Judging runs in rounds, with Fireblaze faculty and invited industry professionals assessing the build, the reasoning behind it and the presentation.
Feedback, not just a result
The point of the final day is the questions teams get asked. Explaining a design decision to someone who builds these systems for a living is the part that transfers to interviews.
Track Record
Every Season So Far
Five seasons since May 2026, at the Nandanvan and Mate Square centres in Nagpur. There was no edition in August.
4
7 September 2026 · Nandanvan centre
AI-Powered ICU Intelligence System
Intelligence systems for intensive care, where the cost of a missed signal is measured in patient outcomes rather than rupees.
Faculty lead: Anjali Bhargava. Chief guest and judge: Dr. Rajratna Ramteke, with Aniruddha Kalbande judging the final round.
3
11 July 2026 · Nandanvan centre
AI-Powered Pit-to-Dispatch Intelligence and Digital Traceability
Mining logistics from pit to dispatch, including traceability across a chain where records are often reconstructed after the fact.
Faculty lead: Yash S. Wadpalliwar. Chief guests: Rajeshwar Sisodia and Partth S. Jaiswall, with Yash, Anjali and Tinish judging the first round.
2
13 June 2026 · Mate Square centre
AI CFO: Finance, Compliance and Automation
An AI-powered platform for finance, compliance and automation, which pushed teams into a domain where being approximately right is not good enough.
Faculty lead: Malhar Kerzarkar. Chief guest: Mr. Abhijeet. Judges: Rani Walke in round one, Aniruddha Kalbande in the final.
1
2 May 2026 · Nandanvan centre
Smart Waste Collection Optimisation
The first season, built around optimising municipal waste collection, run with Yash, Anjali, Rani Walke, Malhar and Prajwal supporting the teams.
It set the pattern every season since has followed.
Across Five Seasons
Five Industries, Not Five Variations of the Same Toy Problem
Each season changes domain deliberately. A team that has built for mining, healthcare and logistics has had to learn the problem before writing code, which is most of the job.
- Municipal wasteSeason 1
- Finance & complianceSeason 2
- Mining logisticsSeason 3
- Critical careSeason 4
- Cold chainSeason 5
Taking Part
Who Can Join
Right now: Fireblaze students
Seasons 1 to 5 have run for students enrolled in Fireblaze AI School programs. If you are on a current batch, your faculty lead will tell you when the next problem statement drops, and team formation happens in class.
There is no separate fee. It is part of how the programs are taught.
From November: students from any college
Season 6 is the first edition open to students outside Fireblaze. If you are at another college in or around Nagpur and want to take part, message us and we will tell you when registration opens.
We would rather tell you honestly that Season 5 is internal than take a registration you cannot use.
For Colleges
Bringing Your Campus Into a Season
Fireblaze already works with engineering colleges across the region, including KITS Ramtek, Priyadarshini College of Engineering, YCCE and KDK College of Engineering, through MOUs, faculty development programs and hackathon judging. From Season 6, that relationship extends to the Tech League itself.
If you are a faculty member or placement coordinator and want your students in a season, or want to put a problem statement from your own industry contacts in front of a room of teams, see our college partnerships or message us directly. We are more interested in a few colleges sending committed teams than in a large number of casual registrations.
FAQ
Frequently Asked Questions
What is the Fireblaze Tech League?
A recurring AI build competition run by Fireblaze AI School in Nagpur, held roughly once a month since May 2026. Each season takes one industry problem statement, gives student teams 21 days to build a solution, and ends with a final day of presentations judged by faculty and invited industry professionals.
How often does it run?
Roughly once a month. Seasons have run in May, June, July, September and October 2026. There was no edition in August.
What is Season 5 about?
Season 5, titled Tech League 5.0: Cold-Chain Intelligence, runs on 6 October 2026 at the Mate Square centre in Nagpur. The problem statement covers AI-powered autonomous cold chain and agri-perishable logistics, across four tracks: ML and anomaly detection, LLM agents for disputes, full stack, and real-time monitoring.
Can students from other colleges take part?
Not yet. Seasons 1 to 5 have been for students enrolled in Fireblaze AI School programs. Season 6, in November 2026, is the first edition open to students from other colleges. Message us and we will tell you when registration opens.
Is there a fee to participate?
No. For Fireblaze students it is part of how the programs are taught, with no separate charge.
How long does a season last?
Each season runs as a 21-day build period followed by a final day lasting around eight and a half hours, where teams present working solutions to a judging panel.
Why 21 days instead of a single-day hackathon?
A single day rewards whoever improvises fastest. Three weeks rewards the team that can actually finish something, which is closer to how real engineering work is judged. It also leaves room for mentor check-ins during the build.
Who judges the competition?
Fireblaze faculty alongside invited industry professionals. Past judges and chief guests have included Dr. Rajratna Ramteke, Rajeshwar Sisodia, Partth S. Jaiswall, Rani Walke and Aniruddha Kalbande.
What problems have past seasons covered?
Smart waste collection optimisation, AI for finance and compliance, mining pit-to-dispatch logistics and traceability, AI-powered ICU intelligence, and AI-powered cold chain and agri-perishable logistics.
Where is it held?
At Fireblaze AI School centres in Nagpur, so far at the Nandanvan and Mate Square centres. Season 5 is at Mate Square.
Do I need to already know AI to take part?
You need enough programming to build something in three weeks. Teams usually mix stronger and weaker members, and the mentor check-ins exist precisely because most participants are still learning. The tracks let teams play to their strengths.
Can colleges partner on a season?
Yes, and that is the direction from Season 6 onward. Fireblaze already works with KITS Ramtek, Priyadarshini College of Engineering, YCCE and KDK College of Engineering through MOUs and faculty development programs. Faculty and placement coordinators can get in touch about bringing teams or contributing a problem statement.
What do participants get out of it?
A finished project built under a deadline, experience presenting it to people who build such systems professionally, and the questions that panel asks, which is usually the most useful part for interview preparation.
How do I find out about the next season?
Message us on WhatsApp using the link on this page. Season 6 in November is the first edition open beyond Fireblaze students.