AI Engineer Projects in India
AI Engineer Projects in India
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People
2
Mehul Sethia | Senseibles
pro
Divvi It – Estate Management Platform
2
29
0
CHETAN MAHESHWARI
pro
AI powered Music Operations Platform
0
67
0
Karamjit Singh
Bolt Mentor Program
0
18
0
Rishabh Bothra
Notifications are easy to ignore. A phone call isn't.
0
40
1
Satya Prakash
pro
GymCare Management System Development
1
1
0
Pruthviraj Jadhav
Admatrica Revamp
0
9
0
Ayush Anand
MagicChat – AI-Powered Kids Entertainment Platform
0
4
0
Aakash Verma
AI-Powered Candidate Filtration System
0
13
0
Siddharth chopda
Full-Stack AI Engineering and Team Leadership
0
5
14
Harshad P.
I built 3 Figma projects — and one of them makes your portfolio in 2 clicks. ⚡ Started with a Habit Tracker at last year's #FigmaMakeathon. Now in 2026, I've got two more live: → Tool Stack — Every online tool, one place. Filter, find, submit. 🔗 toolstack.figma.site (http://toolstack.figma.site)→ Doomfolio — Portfolio builder, 2 clicks, done. 🔗 doomfolio.figma.site (http://doomfolio.figma.site)→ Clean Spot (coming soon) — Find the nearest dustbin in your city. 🗑️ Building in public. More coming. 👇 #FigmaMakeathon #FigmaMake #Contra
19
14
989
0
Rishabh Chopra
pro
AI Learning Tools - Real-Time Voice & Video Generation
0
2
3
ANIMESH SINGH
Problem: Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals. Solution: This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.
3
3
121
0
Ashish Chaudhary
Designed and built a production-grade AI automation system that replaces manual job searching on LinkedIn. The workflow parses resumes using AI, extracts skills and preferences, scrapes relevant LinkedIn job listings, evaluates each role using semantic AI matching, and ranks opportunities by relevance score. It automatically filters low-quality roles, identifies recruiter contacts, and generates personalized outreach messages. The system outputs a centralized tracking dashboard, reducing manual job search effort by over 90% while improving application relevance and response rates.
0
16
0
Avneet Singh
Voice Controlled AI Chatbot using Selenium and Rasa
0
34
0
Karan Singh
Scientific Image Forgery Detection — Kaggle Competition Participated in the ongoing Kaggle competition on Copy-Move Forgery Detection in Scientific Images, aimed at identifying manipulated biomedical figures that can compromise research integrity. For this challenge, I developed a ResNet50 + U-Net hybrid segmentation model using PyTorch, designed to detect and segment forged regions at the pixel level. My approach combines Dice and Focal losses for balanced training, WeightedRandomSampling to oversample forged images, and Test-Time Augmentation (TTA) to improve prediction robustness. Achieved an initial score of 0.303 on the public leaderboard. I’m continuing to experiment with architecture tuning, learning rate schedules, and other loss functions to further enhance performance and generalization.
0
57
0
Sathiya Seelan
AI-Powered Startup Idea Feedback Platform
0
2
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