Machine Learning Engineering Projects in Hyderabad
Machine Learning Engineering Projects in Hyderabad
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Rajaraman Arumugam
pro
Orbit | ML model monitoring dashboard | Dark UI
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5
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Manoj Bathini
DeepVideo – AI Surveillance System Developed an AI surveillance prototype for camera feeds, object detection, alerts, and activity monitoring.
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11
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Naga Sai
🎙️ Live Captions + Translation: real-time speech-to-text with instant translation. I built a Streamlit web app that listens to your microphone, shows live captions as you speak, and translates them into another language in real time. How it works: 1️⃣ Mic stream: streamlit-webrtc captures live audio frames in the browser. 2️⃣ Speech-to-text: Kyutai’s 2.6B-parameter STT model (Hugging Face Transformers) turns the audio into English text. 3️⃣ New-word detection: only newly spoken words are sent for translation, so the app doesn’t re-translate the whole caption every time. 4️⃣ Translation: Meta’s NLLB-200 (600M) model translates into any of 200 languages. Hindi is the default. Engineering highlights: • Models load once and stay cached (st.cache_resource), so the app responds quickly. • Runs on GPU in float16 when available and falls back to CPU. • Switching the target language takes one setting change. Use cases: meetings, lectures, accessibility for hearing-impaired users, and multilingual conversations. Tech: Python · PyTorch · Hugging Face Transformers · Streamlit · WebRTC 🔗 github.com/bns218/live_caption_app
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12
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Sandeep Sai
:5-agent CrewAI pipeline for automated market research reports, using OpenRouter for LLM calls and custom step callbacks for cost/latency tracking across agents.
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32
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Lalan Kumar
ChatTensorFlow
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5
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karthikeya Yelamanchili
Machine Learning Stock Price Prediction for Google
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5
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Ajay K
Gemma-Model-Finetuning-Using-Lora
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53
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Bhavana Gutta
Developed an AI-driven Alzheimer’s disease prediction platform using deep learning and MRI image analysis. The system provides prediction results, confidence scores, and analytics dashboards for early-stage disease detection and healthcare insights.
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53
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Gitesh Deshmukh
CIFAR-10 Image Classification Model Development
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7
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Lokesh Reddy
object-Detection
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5
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Shaik Nawaz
Healthcare Provider Fraud Detection
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6
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Vamshi Krishna S
VamshiKrsna/Stockr
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6
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Hariom Hatwate
I will build a functional AI-powered application based on your idea, business requirement, or workflow. What I can build: • AI assistants and chatbots • LLM-powered applications • AI automation tools • Document intelligence systems • AI dashboards • RAG applications • AI-powered MVPs and prototypes Deliverables: • Functional application • Clean and maintainable code • API/model integration • Basic documentation • Deployment guidance where applicable Before starting, I’ll clarify your requirements, expected functionality, preferred technology, and delivery timeline so the scope is clearly defined.
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60
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ankit saybu
Contextual Entity Validation: Enhancing Query Accuracy
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3
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Mohammed Abdul Moiz
Stock Price Prediction Model with Full-Stack Web Application and
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23
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Rajaraman Arumugam
pro
Orbit, ML model observability. Landing page design.
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5
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